Gwen ASUS System Product Name
Geekbench AI Score
9970
Single Precision Score
9866
Half Precision Score
15157
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | November 27 2025 05:00 AM |
| Views | 3 |
| Notes | ASUS System Product Name Latest NVIDIA drivers |
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 | Balanced |
| 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% |
6370
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
7249
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10288
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8595
139.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3524
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15339
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
34706
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74115
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
6032
478.4 IPS |
|
|
Object Detection (HP)
|
100% |
5996
475.6 IPS |
|
|
Object Detection (Q)
|
87% |
9879
792.9 IPS |
|
|
Face Detection (SP)
|
100% |
16784
199.4 IPS |
|
|
Face Detection (HP)
|
100% |
17071
202.8 IPS |
|
|
Face Detection (Q)
|
100% |
33517
398.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14747
113.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17070
131.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
32852
255.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43693
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50183
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93076
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9373
346.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14145
522.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23577
873.1 IPS |
|
|
Text Classification (SP)
|
100% |
4454
5.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (Q)
|
92% |
2259
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4418
76.1 IPS |
