Gwen ASUS System Product Name
Geekbench AI Score
7480
Single Precision Score
2612
Half Precision Score
10708
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | August 29 2025 01:37 AM |
| Views | 12 |
| Notes | ASUS System Product Name |
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. 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% |
5802
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
847
157.5 IPS |
|
|
Image Classification (Q)
|
99% |
9334
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3063
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4668
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16552
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8607
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
53954
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
5226
414.5 IPS |
|
|
Object Detection (HP)
|
100% |
1161
92.1 IPS |
|
|
Object Detection (Q)
|
86% |
11905
956.8 IPS |
|
|
Face Detection (SP)
|
100% |
14255
169.4 IPS |
|
|
Face Detection (HP)
|
100% |
2726
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
14221
169.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16972
130.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3692
28.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
26050
207.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36432
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21701
27.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30739
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7179
265.8 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1881
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4606
92.5 IPS |
