ASUS System Product Name
Geekbench ML Score
4800
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 08 2024 03:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i7-14700KF |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 3 |
| L1 Data Cache | 48.0 KB x 3 |
| L2 Cache | 2.00 MB x 1 |
| L3 Cache | 33.0 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% |
2613
488.9 IPS |
|
|
Image Classification (F16)
|
100% |
2507
469.1 IPS |
|
|
Image Classification (I8)
|
99% |
4673
874.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2170
36.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2174
36.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3032
50.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
7370
8.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
7363
8.92 IPS |
|
|
Pose Estimation (I8)
|
100% |
24480
29.6 IPS |
|
|
Object Detection (F32)
|
100% |
2525
188.5 IPS |
|
|
Object Detection (F16)
|
100% |
2535
189.2 IPS |
|
|
Object Detection (I8)
|
62% |
2581
192.7 IPS |
|
|
Face Detection (F32)
|
100% |
5596
66.5 IPS |
|
|
Face Detection (F16)
|
100% |
5538
65.8 IPS |
|
|
Face Detection (I8)
|
89% |
5767
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
8772
68.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8721
67.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
17481
135.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15251
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
17939
23.6 IPS |
|
|
Style Transfer (I8)
|
98% |
26795
35.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3973
141.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3975
142.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6595
235.5 IPS |
|
|
Text Classification (F32)
|
100% |
2162
3.11 KIPS |
|
|
Text Classification (F16)
|
100% |
2180
3.13 KIPS |
|
|
Text Classification (I8)
|
98% |
707
1.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
3343
61.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3269
60.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4307
79.3 IPS |
