ASUS System Product Name
Geekbench ML Score
5354
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 15 2024 09:51 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| 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 14 |
| L1 Data Cache | 32.0 KB x 14 |
| L2 Cache | 4.00 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% |
2798
523.5 IPS |
|
|
Image Classification (F16)
|
100% |
2794
522.8 IPS |
|
|
Image Classification (I8)
|
99% |
5084
951.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2333
39.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2324
38.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
3314
55.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
10439
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
10444
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
36601
44.3 IPS |
|
|
Object Detection (F32)
|
100% |
2767
206.6 IPS |
|
|
Object Detection (F16)
|
100% |
2698
201.4 IPS |
|
|
Object Detection (I8)
|
62% |
2566
191.6 IPS |
|
|
Face Detection (F32)
|
100% |
5968
71.0 IPS |
|
|
Face Detection (F16)
|
100% |
5998
71.3 IPS |
|
|
Face Detection (I8)
|
89% |
5953
70.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
11315
87.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11469
88.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
21657
167.9 IPS |
|
|
Style Transfer (F32)
|
100% |
24834
32.7 IPS |
|
|
Style Transfer (F16)
|
100% |
24620
32.4 IPS |
|
|
Style Transfer (I8)
|
98% |
32002
42.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4922
175.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4951
176.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6990
249.6 IPS |
|
|
Text Classification (F32)
|
100% |
1909
2.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1827
2.63 KIPS |
|
|
Text Classification (I8)
|
98% |
564
810.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2842
52.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2891
53.2 IPS |
|
|
Machine Translation (I8)
|
67% |
4127
75.9 IPS |
