N/A
Geekbench AI Score
11
Single Precision Score
11
Half Precision Score
8
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | January 02 2025 07:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-3320M |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| Model | N/A |
| Motherboard | AOpen Inc. i77QMt-DS(DEX7150) R1.02 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3320M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 5.67 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7
1.24 IPS |
|
|
Image Classification (HP)
|
100% |
7
1.24 IPS |
|
|
Image Classification (Q)
|
97% |
5
0.97 IPS |
|
|
Image Segmentation (SP)
|
100% |
9
0.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
9
0.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
7
0.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
11
0.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
11
0.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
8
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
6
0.51 IPS |
|
|
Object Detection (HP)
|
100% |
6
0.51 IPS |
|
|
Object Detection (Q)
|
87% |
5
0.40 IPS |
|
|
Face Detection (SP)
|
100% |
22
0.26 IPS |
|
|
Face Detection (HP)
|
100% |
22
0.26 IPS |
|
|
Face Detection (Q)
|
97% |
17
0.20 IPS |
|
|
Depth Estimation (SP)
|
100% |
16
0.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
16
0.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
10
0.09 IPS |
|
|
Style Transfer (SP)
|
100% |
33
0.04 IPS |
|
|
Style Transfer (HP)
|
100% |
33
0.04 IPS |
|
|
Style Transfer (Q)
|
98% |
26
0.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7
0.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7
0.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5
0.20 IPS |
|
|
Text Classification (SP)
|
100% |
9
11.7 IPS |
|
|
Text Classification (HP)
|
100% |
9
11.7 IPS |
|
|
Text Classification (Q)
|
91% |
7
8.92 IPS |
|
|
Machine Translation (SP)
|
100% |
17
0.29 IPS |
|
|
Machine Translation (HP)
|
100% |
17
0.29 IPS |
|
|
Machine Translation (Q)
|
58% |
9
0.22 IPS |
