ASUS System Product Name
Geekbench ML Score
6467
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 18 2024 07:20 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 Z890 HERO |
| Power Plan | Ausbalanciert |
| 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% |
3299
617.3 IPS |
|
|
Image Classification (F16)
|
100% |
3196
598.1 IPS |
|
|
Image Classification (I8)
|
99% |
5401
1.01 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2417
40.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2457
41.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
3891
65.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16533
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16372
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
54828
66.4 IPS |
|
|
Object Detection (F32)
|
100% |
3173
236.9 IPS |
|
|
Object Detection (F16)
|
100% |
3151
235.2 IPS |
|
|
Object Detection (I8)
|
62% |
3011
224.8 IPS |
|
|
Face Detection (F32)
|
100% |
6223
74.0 IPS |
|
|
Face Detection (F16)
|
100% |
6038
71.8 IPS |
|
|
Face Detection (I8)
|
89% |
6280
74.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
14999
116.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14495
112.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
23760
184.3 IPS |
|
|
Style Transfer (F32)
|
100% |
36114
47.5 IPS |
|
|
Style Transfer (F16)
|
100% |
33845
44.5 IPS |
|
|
Style Transfer (I8)
|
98% |
32216
42.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6531
233.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6570
234.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8020
286.4 IPS |
|
|
Text Classification (F32)
|
100% |
1890
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1885
2.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1468
2.11 KIPS |
|
|
Machine Translation (F32)
|
100% |
3023
55.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3030
55.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4516
83.1 IPS |
