ASUS System Product Name
Geekbench AI Score
5973
Single Precision Score
1242
Half Precision Score
7596
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | November 08 2025 09:46 AM |
| Views | 3 |
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% |
3255
605.3 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.2 IPS |
|
|
Image Classification (Q)
|
99% |
5654
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2694
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
4464
72.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16045
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8069
9.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
55828
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
3494
277.2 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
88% |
3231
259.0 IPS |
|
|
Face Detection (SP)
|
100% |
6168
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.60 IPS |
|
|
Face Detection (Q)
|
97% |
6430
76.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14657
112.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1416
10.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
12975
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35825
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21280
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33635
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5919
218.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7096
262.7 IPS |
|
|
Text Classification (SP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1913
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2878
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3689
82.3 IPS |
