Gwen ASUS System Product Name
Geekbench AI Score
10054
Single Precision Score
10196
Half Precision Score
15523
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | March 04 2026 04:01 AM |
| Views | 6 |
| Notes | No Virtualization enabled DMA off |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Ultimate Performance |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6577
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
7230
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
9996
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8877
143.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15549
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
35142
41.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
75273
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
6443
511.1 IPS |
|
|
Object Detection (HP)
|
100% |
6206
492.2 IPS |
|
|
Object Detection (Q)
|
87% |
10179
817.0 IPS |
|
|
Face Detection (SP)
|
100% |
17250
205.0 IPS |
|
|
Face Detection (HP)
|
100% |
18260
217.0 IPS |
|
|
Face Detection (Q)
|
100% |
34116
405.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14935
115.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18605
143.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
35273
274.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43717
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
53885
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
97871
126.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9219
340.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14555
537.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24317
900.5 IPS |
|
|
Text Classification (SP)
|
100% |
4537
6.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2212
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4589
79.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4650
80.1 IPS |
