Gwen ASUS System Product Name
Geekbench AI Score
3838
Single Precision Score
5464
Half Precision Score
2640
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | August 29 2025 01:43 AM |
| Views | 8 |
| Notes | ASUS System Product Name |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2747
510.9 IPS |
|
|
Image Classification (HP)
|
100% |
3603
670.1 IPS |
|
|
Image Classification (Q)
|
99% |
1949
363.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4865
78.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1396
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9618
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15739
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8199
9.61 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
99% |
3490
277.7 IPS |
|
|
Object Detection (Q)
|
85% |
1997
160.7 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
5377
63.9 IPS |
|
|
Face Detection (Q)
|
97% |
2997
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7915
61.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13698
105.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5885
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25459
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37351
48.0 IPS |
|
|
Style Transfer (Q)
|
98% |
19043
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4225
156.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2941
108.9 IPS |
|
|
Text Classification (SP)
|
86% |
793
1.07 KIPS |
|
|
Text Classification (HP)
|
99% |
706
941.9 IPS |
|
|
Text Classification (Q)
|
84% |
457
620.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (Q)
|
70% |
818
15.3 IPS |
