ASUS System Product Name
Geekbench AI Score
6040
Single Precision Score
1253
Half Precision Score
7464
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | October 07 2025 01:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
3238
602.2 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.5 IPS |
|
|
Image Classification (Q)
|
99% |
5438
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
4904
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16084
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8206
9.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
44313
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
3704
293.8 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
88% |
3217
257.8 IPS |
|
|
Face Detection (SP)
|
100% |
6605
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
411
4.89 IPS |
|
|
Face Detection (Q)
|
97% |
6469
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13533
104.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1434
11.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
13833
111.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35481
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19477
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34251
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5818
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3638
134.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6778
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
2079
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1841
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
60% |
3694
82.4 IPS |
