ASUS System Product Name
Geekbench ML Score
5408
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 07:13 PM |
| 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 Z890 HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 7 |
| L1 Data Cache | 48.0 KB x 7 |
| L2 Cache | 3.00 MB x 1 |
| L3 Cache | 24.0 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% |
2743
513.2 IPS |
|
|
Image Classification (F16)
|
100% |
2704
506.0 IPS |
|
|
Image Classification (I8)
|
99% |
4985
932.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
2182
36.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2156
36.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3502
58.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10413
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10391
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
35954
43.5 IPS |
|
|
Object Detection (F32)
|
100% |
2732
203.9 IPS |
|
|
Object Detection (F16)
|
100% |
2753
205.5 IPS |
|
|
Object Detection (I8)
|
62% |
2513
187.6 IPS |
|
|
Face Detection (F32)
|
100% |
5188
61.7 IPS |
|
|
Face Detection (F16)
|
100% |
5215
62.0 IPS |
|
|
Face Detection (I8)
|
89% |
5703
67.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
11166
86.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10848
84.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
20614
159.9 IPS |
|
|
Style Transfer (F32)
|
100% |
24013
31.6 IPS |
|
|
Style Transfer (F16)
|
100% |
24037
31.6 IPS |
|
|
Style Transfer (I8)
|
98% |
28646
37.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4898
174.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4911
175.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6936
247.7 IPS |
|
|
Text Classification (F32)
|
100% |
1915
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1914
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1558
2.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
2806
51.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2833
52.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4542
83.6 IPS |
