ASUS System Product Name
Geekbench ML Score
5034
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 EXTREME |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2738
512.4 IPS |
|
|
Image Classification (F16)
|
100% |
2700
505.3 IPS |
|
|
Image Classification (I8)
|
99% |
4649
870.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2201
36.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2251
37.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
3373
56.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
11015
13.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
11322
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
34897
42.3 IPS |
|
|
Object Detection (F32)
|
100% |
2552
190.5 IPS |
|
|
Object Detection (F16)
|
100% |
2565
191.5 IPS |
|
|
Object Detection (I8)
|
62% |
2076
155.0 IPS |
|
|
Face Detection (F32)
|
100% |
5153
61.3 IPS |
|
|
Face Detection (F16)
|
100% |
5400
64.2 IPS |
|
|
Face Detection (I8)
|
89% |
5419
64.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
10768
83.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10881
84.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
18050
140.0 IPS |
|
|
Style Transfer (F32)
|
100% |
25985
34.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26394
34.7 IPS |
|
|
Style Transfer (I8)
|
98% |
32021
42.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4874
174.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4866
173.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6284
224.4 IPS |
|
|
Text Classification (F32)
|
100% |
1777
2.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1815
2.61 KIPS |
|
|
Text Classification (I8)
|
98% |
504
724.8 IPS |
|
|
Machine Translation (F32)
|
100% |
2410
44.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2458
45.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3347
61.6 IPS |
