ASUS System Product Name
Geekbench AI Score
6048
Single Precision Score
1294
Half Precision Score
7677
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | November 08 2024 05:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| 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 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3243
603.2 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
99% |
5458
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2734
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.54 IPS |
|
|
Image Segmentation (Q)
|
98% |
4777
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16223
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8260
9.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
55053
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
3855
305.8 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
88% |
3251
260.6 IPS |
|
|
Face Detection (SP)
|
100% |
5803
68.9 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.42 IPS |
|
|
Face Detection (Q)
|
97% |
6019
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14736
113.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1487
11.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
14826
119.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37677
48.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21656
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
36864
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5709
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7044
260.8 IPS |
|
|
Text Classification (SP)
|
100% |
2083
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1749
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (Q)
|
60% |
3762
83.9 IPS |
