System manufacturer System Product Name
Geekbench ML Score
999
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 27 2024 06:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170-A |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 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% |
551
103.1 IPS |
|
|
Image Classification (F16)
|
100% |
562
105.3 IPS |
|
|
Image Classification (I8)
|
97% |
780
146.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
495
8.27 IPS |
|
|
Image Segmentation (F16)
|
100% |
436
7.29 IPS |
|
|
Image Segmentation (I8)
|
97% |
697
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1741
2.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
1686
2.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
3046
3.69 IPS |
|
|
Object Detection (F32)
|
100% |
610
45.5 IPS |
|
|
Object Detection (F16)
|
100% |
524
39.1 IPS |
|
|
Object Detection (I8)
|
60% |
724
54.1 IPS |
|
|
Face Detection (F32)
|
100% |
836
9.94 IPS |
|
|
Face Detection (F16)
|
100% |
892
10.6 IPS |
|
|
Face Detection (I8)
|
87% |
1401
16.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1818
14.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1565
12.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
2675
20.7 IPS |
|
|
Style Transfer (F32)
|
100% |
3504
4.61 IPS |
|
|
Style Transfer (F16)
|
100% |
3778
4.97 IPS |
|
|
Style Transfer (I8)
|
85% |
5229
6.88 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
600
21.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
771
27.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1036
37.0 IPS |
|
|
Text Classification (F32)
|
100% |
706
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
516
741.7 IPS |
|
|
Text Classification (I8)
|
94% |
260
373.2 IPS |
|
|
Machine Translation (F32)
|
100% |
759
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
811
14.9 IPS |
|
|
Machine Translation (I8)
|
67% |
855
15.7 IPS |
