ASUS System Product Name
Geekbench ML Score
6418
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 11 2024 09:25 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 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 64.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 3.00 MB x 3 |
| 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% |
3318
620.9 IPS |
|
|
Image Classification (F16)
|
100% |
3296
616.7 IPS |
|
|
Image Classification (I8)
|
99% |
5422
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2464
41.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2476
41.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3512
58.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16750
20.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
16657
20.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
57050
69.1 IPS |
|
|
Object Detection (F32)
|
100% |
3211
239.7 IPS |
|
|
Object Detection (F16)
|
100% |
3244
242.2 IPS |
|
|
Object Detection (I8)
|
62% |
2931
218.8 IPS |
|
|
Face Detection (F32)
|
100% |
6998
83.2 IPS |
|
|
Face Detection (F16)
|
100% |
7205
85.7 IPS |
|
|
Face Detection (I8)
|
89% |
6927
82.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
15205
117.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
15682
121.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
26444
205.1 IPS |
|
|
Style Transfer (F32)
|
100% |
37770
49.7 IPS |
|
|
Style Transfer (F16)
|
100% |
37477
49.3 IPS |
|
|
Style Transfer (I8)
|
98% |
36997
48.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6558
234.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6544
233.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8297
296.3 IPS |
|
|
Text Classification (F32)
|
100% |
1844
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
1852
2.66 KIPS |
|
|
Text Classification (I8)
|
98% |
583
838.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2894
53.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2889
53.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3955
72.8 IPS |
