Gwen ASUS System Product Name
Geekbench AI Score
9362
Single Precision Score
7671
Half Precision Score
16866
Quantized Score
Geekbench AI 1.2.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | August 29 2025 01:46 AM |
| Views | 10 |
| Notes | ASUS System Product Name |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
6248
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
100% |
10456
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7651
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4402
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11128
180.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15422
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16033
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
33648
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
5253
416.7 IPS |
|
|
Object Detection (HP)
|
100% |
3979
315.6 IPS |
|
|
Object Detection (Q)
|
88% |
11223
899.7 IPS |
|
|
Face Detection (SP)
|
100% |
15393
182.9 IPS |
|
|
Face Detection (HP)
|
100% |
9871
117.3 IPS |
|
|
Face Detection (Q)
|
100% |
29662
352.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14841
114.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13823
106.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
33078
257.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43372
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
45075
57.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96844
124.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9222
340.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9862
364.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18191
673.7 IPS |
|
|
Text Classification (SP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (Q)
|
92% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3559
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3505
60.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3829
66.0 IPS |
