ASUS System Product Name
Geekbench ML Score
5379
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 06:13 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% |
2793
522.7 IPS |
|
|
Image Classification (F16)
|
100% |
2731
511.1 IPS |
|
|
Image Classification (I8)
|
99% |
5079
950.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2319
38.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2318
38.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3426
57.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
10448
12.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
10385
12.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
36665
44.4 IPS |
|
|
Object Detection (F32)
|
100% |
2762
206.2 IPS |
|
|
Object Detection (F16)
|
100% |
2706
202.0 IPS |
|
|
Object Detection (I8)
|
62% |
2588
193.2 IPS |
|
|
Face Detection (F32)
|
100% |
5988
71.2 IPS |
|
|
Face Detection (F16)
|
100% |
5951
70.8 IPS |
|
|
Face Detection (I8)
|
89% |
5979
71.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
11364
88.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11263
87.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
21727
168.5 IPS |
|
|
Style Transfer (F32)
|
100% |
24826
32.7 IPS |
|
|
Style Transfer (F16)
|
100% |
24577
32.3 IPS |
|
|
Style Transfer (I8)
|
98% |
34130
44.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4909
175.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4950
176.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7010
250.3 IPS |
|
|
Text Classification (F32)
|
100% |
1926
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
1926
2.77 KIPS |
|
|
Text Classification (I8)
|
98% |
576
828.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2881
53.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2870
52.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4104
75.5 IPS |
