ASUS System Product Name
Geekbench ML Score
6338
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 23 2024 03:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | High performance |
| 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% |
3105
581.0 IPS |
|
|
Image Classification (F16)
|
100% |
3056
571.9 IPS |
|
|
Image Classification (I8)
|
99% |
5298
991.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2556
42.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2493
41.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4053
67.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
16148
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
16098
19.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
52286
63.3 IPS |
|
|
Object Detection (F32)
|
100% |
3005
224.4 IPS |
|
|
Object Detection (F16)
|
100% |
3016
225.2 IPS |
|
|
Object Detection (I8)
|
62% |
2823
210.8 IPS |
|
|
Face Detection (F32)
|
100% |
6063
72.1 IPS |
|
|
Face Detection (F16)
|
100% |
6105
72.6 IPS |
|
|
Face Detection (I8)
|
89% |
6208
73.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
13565
105.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
13907
107.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
23635
183.3 IPS |
|
|
Style Transfer (F32)
|
100% |
35282
46.4 IPS |
|
|
Style Transfer (F16)
|
100% |
34959
46.0 IPS |
|
|
Style Transfer (I8)
|
98% |
31994
42.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6288
224.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6227
222.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7736
276.3 IPS |
|
|
Text Classification (F32)
|
100% |
1852
2.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1918
2.76 KIPS |
|
|
Text Classification (I8)
|
98% |
1501
2.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2957
54.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2977
54.8 IPS |
|
|
Machine Translation (I8)
|
67% |
4424
81.4 IPS |
