System manufacturer System Product Name
Geekbench ML Score
1688
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 08:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z370-A II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
877
164.2 IPS |
|
|
Image Classification (F16)
|
100% |
1030
192.6 IPS |
|
|
Image Classification (I8)
|
97% |
1114
208.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
662
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
628
10.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
890
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3060
3.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
3094
3.75 IPS |
|
|
Pose Estimation (I8)
|
100% |
5630
6.82 IPS |
|
|
Object Detection (F32)
|
100% |
911
68.0 IPS |
|
|
Object Detection (F16)
|
100% |
980
73.2 IPS |
|
|
Object Detection (I8)
|
60% |
616
46.0 IPS |
|
|
Face Detection (F32)
|
100% |
1702
20.2 IPS |
|
|
Face Detection (F16)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (I8)
|
87% |
2008
23.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3551
27.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3748
29.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
4963
38.5 IPS |
|
|
Style Transfer (F32)
|
100% |
7504
9.87 IPS |
|
|
Style Transfer (F16)
|
100% |
7640
10.0 IPS |
|
|
Style Transfer (I8)
|
85% |
8646
11.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1552
55.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1489
53.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1876
67.0 IPS |
|
|
Text Classification (F32)
|
100% |
944
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
968
1.39 KIPS |
|
|
Text Classification (I8)
|
94% |
433
622.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1336
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1338
24.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1029
18.9 IPS |
