N/A | N/A | Difference | |
---|---|---|---|
Single Precision | 11 | 11 | 100.0% |
N/A | |||
N/A | |||
Half Precision | 11 | 11 | 100.0% |
N/A | |||
N/A | |||
Quantized | 8 | 8 | 100.0% |
N/A | |||
N/A | |||
Geekbench AI 1.2.0 | Geekbench AI 1.2.0 |
N/A | N/A | |
---|---|---|
AI Framework | TensorFlow Lite | TensorFlow Lite |
AI Backend | CPU | CPU |
AI Device | Intel Core i5-3320M | Intel Core i5-3320M |
Operating System | Linux Mint 22 | Linux Mint 22 |
Model | N/A | N/A |
Processor |
Intel Core i5-3320M @ 3.30 GHz
1 Processor, 2 Cores, 4 Threads |
Intel Core i5-3320M @ 3.30 GHz
1 Processor, 2 Cores, 4 Threads |
Processor ID | GenuineIntel Family 6 Model 58 Stepping 9 | GenuineIntel Family 6 Model 58 Stepping 9 |
Motherboard | AOpen Inc. i77QMt-DS(DEX7150) R1.02 | AOpen Inc. i77QMt-DS(DEX7150) R1.02 |
BIOS | American Megatrends Inc. 4.6.5 | American Megatrends Inc. 4.6.5 |
Memory | 5.67 GB | 5.67 GB |
N/A | N/A | Difference | |
---|---|---|---|
Image Classification (SP) | 7 | 7 | 100.0% |
N/A | |||
N/A | |||
Image Classification (HP) | 7 | 7 | 100.0% |
N/A | |||
N/A | |||
Image Classification (Q) | 5 | 5 | 100.0% |
N/A | |||
N/A | |||
Image Segmentation (SP) | 9 | 9 | 100.0% |
N/A | |||
N/A | |||
Image Segmentation (HP) | 9 | 9 | 100.0% |
N/A | |||
N/A | |||
Image Segmentation (Q) | 7 | 7 | 100.0% |
N/A | |||
N/A | |||
Pose Estimation (SP) | 11 | 11 | 100.0% |
N/A | |||
N/A | |||
Pose Estimation (HP) | 11 | 11 | 100.0% |
N/A | |||
N/A | |||
Pose Estimation (Q) | 8 | 8 | 100.0% |
N/A | |||
N/A | |||
Object Detection (SP) | 6 | 6 | 100.0% |
N/A | |||
N/A | |||
Object Detection (HP) | 6 | 6 | 100.0% |
N/A | |||
N/A | |||
Object Detection (Q) | 5 | 5 | 100.0% |
N/A | |||
N/A | |||
Face Detection (SP) | 22 | 22 | 100.0% |
N/A | |||
N/A | |||
Face Detection (HP) | 22 | 22 | 100.0% |
N/A | |||
N/A | |||
Face Detection (Q) | 17 | 17 | 100.0% |
N/A | |||
N/A | |||
Depth Estimation (SP) | 16 | 16 | 100.0% |
N/A | |||
N/A | |||
Depth Estimation (HP) | 16 | 16 | 100.0% |
N/A | |||
N/A | |||
Depth Estimation (Q) | 10 | 10 | 100.0% |
N/A | |||
N/A | |||
Style Transfer (SP) | 33 | 33 | 100.0% |
N/A | |||
N/A | |||
Style Transfer (HP) | 33 | 33 | 100.0% |
N/A | |||
N/A | |||
Style Transfer (Q) | 26 | 26 | 100.0% |
N/A | |||
N/A | |||
Image Super-Resolution (SP) | 7 | 7 | 100.0% |
N/A | |||
N/A | |||
Image Super-Resolution (HP) | 7 | 7 | 100.0% |
N/A | |||
N/A | |||
Image Super-Resolution (Q) | 5 | 5 | 100.0% |
N/A | |||
N/A | |||
Text Classification (SP) | 9 | 9 | 100.0% |
N/A | |||
N/A | |||
Text Classification (HP) | 9 | 9 | 100.0% |
N/A | |||
N/A | |||
Text Classification (Q) | 7 | 7 | 100.0% |
N/A | |||
N/A | |||
Machine Translation (SP) | 17 | 17 | 100.0% |
N/A | |||
N/A | |||
Machine Translation (HP) | 17 | 17 | 100.0% |
N/A | |||
N/A | |||
Machine Translation (Q) | 9 | 9 | 100.0% |
N/A | |||
N/A |