System manufacturer System Product Name
Geekbench ML Score
836
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 31 2024 05:19 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. SABERTOOTH Z77 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3570K |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
550
102.9 IPS |
|
|
Image Classification (F16)
|
100% |
535
100.1 IPS |
|
|
Image Classification (I8)
|
96% |
555
103.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
447
7.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
426
7.11 IPS |
|
|
Image Segmentation (I8)
|
97% |
508
8.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
1398
1.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
1421
1.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
1312
1.59 IPS |
|
|
Object Detection (F32)
|
100% |
521
38.9 IPS |
|
|
Object Detection (F16)
|
100% |
512
38.3 IPS |
|
|
Object Detection (I8)
|
62% |
463
34.5 IPS |
|
|
Face Detection (F32)
|
100% |
860
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
872
10.4 IPS |
|
|
Face Detection (I8)
|
87% |
976
11.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1614
12.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
1634
12.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
1529
11.9 IPS |
|
|
Style Transfer (F32)
|
100% |
3331
4.38 IPS |
|
|
Style Transfer (F16)
|
100% |
3474
4.57 IPS |
|
|
Style Transfer (I8)
|
85% |
2785
3.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
750
26.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
770
27.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
713
25.5 IPS |
|
|
Text Classification (F32)
|
100% |
590
848.1 IPS |
|
|
Text Classification (F16)
|
100% |
607
872.4 IPS |
|
|
Text Classification (I8)
|
94% |
258
371.2 IPS |
|
|
Machine Translation (F32)
|
100% |
738
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
721
13.3 IPS |
|
|
Machine Translation (I8)
|
67% |
479
8.81 IPS |
