Default string Default string
Geekbench ML Score
1306
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | Oleksandr |
| Upload Date | August 22 2024 09:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 94.07 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
984
184.1 IPS |
|
|
Image Classification (F16)
|
100% |
984
184.2 IPS |
|
|
Image Classification (I8)
|
99% |
659
123.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1350
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1346
22.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
670
11.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
1814
2.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
1821
2.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
1634
1.98 IPS |
|
|
Object Detection (F32)
|
100% |
1128
84.2 IPS |
|
|
Object Detection (F16)
|
100% |
1009
75.4 IPS |
|
|
Object Detection (I8)
|
65% |
699
52.2 IPS |
|
|
Face Detection (F32)
|
100% |
2090
24.9 IPS |
|
|
Face Detection (F16)
|
100% |
2092
24.9 IPS |
|
|
Face Detection (I8)
|
87% |
1595
19.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2023
15.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2011
15.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
1543
12.0 IPS |
|
|
Style Transfer (F32)
|
100% |
3026
3.98 IPS |
|
|
Style Transfer (F16)
|
100% |
3016
3.97 IPS |
|
|
Style Transfer (I8)
|
98% |
3577
4.71 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1092
39.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1091
39.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
946
33.8 IPS |
|
|
Text Classification (F32)
|
100% |
957
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
955
1.37 KIPS |
|
|
Text Classification (I8)
|
92% |
313
450.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1777
32.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1829
33.7 IPS |
|
|
Machine Translation (I8)
|
62% |
611
11.2 IPS |
