ASUS System Product Name
Geekbench ML Score
5570
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 10:52 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 DARK HERO |
| Power Plan | Ausbalanciert |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2809
525.6 IPS |
|
|
Image Classification (F16)
|
100% |
2753
515.2 IPS |
|
|
Image Classification (I8)
|
99% |
4729
884.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2389
39.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2421
40.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
4023
67.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11365
13.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
11573
14.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
38100
46.1 IPS |
|
|
Object Detection (F32)
|
100% |
2753
205.6 IPS |
|
|
Object Detection (F16)
|
100% |
2772
206.9 IPS |
|
|
Object Detection (I8)
|
62% |
2369
176.9 IPS |
|
|
Face Detection (F32)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (F16)
|
100% |
5659
67.3 IPS |
|
|
Face Detection (I8)
|
89% |
5912
70.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
11715
90.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11571
89.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
19117
148.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27964
36.8 IPS |
|
|
Style Transfer (F16)
|
100% |
28200
37.1 IPS |
|
|
Style Transfer (I8)
|
98% |
30558
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5159
184.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5109
182.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6514
232.6 IPS |
|
|
Text Classification (F32)
|
100% |
1876
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1872
2.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1420
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
2798
51.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2795
51.4 IPS |
|
|
Machine Translation (I8)
|
67% |
4114
75.7 IPS |
