System manufacturer System Product Name
Geekbench ML Score
734
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 15 2024 06:19 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8Z77-V LK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
459
86.0 IPS |
|
|
Image Classification (F16)
|
100% |
474
88.7 IPS |
|
|
Image Classification (I8)
|
96% |
489
91.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
420
7.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
437
7.30 IPS |
|
|
Image Segmentation (I8)
|
97% |
443
7.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
1101
1.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
1083
1.31 IPS |
|
|
Pose Estimation (I8)
|
100% |
1246
1.51 IPS |
|
|
Object Detection (F32)
|
100% |
500
37.4 IPS |
|
|
Object Detection (F16)
|
100% |
499
37.2 IPS |
|
|
Object Detection (I8)
|
62% |
456
34.1 IPS |
|
|
Face Detection (F32)
|
100% |
874
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
867
10.3 IPS |
|
|
Face Detection (I8)
|
87% |
938
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1221
9.47 IPS |
|
|
Depth Estimation (F16)
|
100% |
1332
10.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
1325
10.3 IPS |
|
|
Style Transfer (F32)
|
100% |
2629
3.46 IPS |
|
|
Style Transfer (F16)
|
100% |
2732
3.59 IPS |
|
|
Style Transfer (I8)
|
85% |
2483
3.27 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
636
22.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
581
20.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
634
22.7 IPS |
|
|
Text Classification (F32)
|
100% |
534
767.3 IPS |
|
|
Text Classification (F16)
|
100% |
428
614.7 IPS |
|
|
Text Classification (I8)
|
94% |
243
349.8 IPS |
|
|
Machine Translation (F32)
|
100% |
669
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
665
12.2 IPS |
|
|
Machine Translation (I8)
|
67% |
414
7.61 IPS |
