Gwen ASUS System Product Name
Geekbench AI Score
46728
Single Precision Score
68552
Half Precision Score
35616
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | brianrandell |
| Upload Date | March 04 2026 03:57 AM |
| Views | 9 |
| Notes | No Virtualization enabled DMA off |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| 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% |
16678
3.10 KIPS |
|
|
Image Classification (HP)
|
100% |
21636
4.02 KIPS |
|
|
Image Classification (Q)
|
100% |
14389
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33444
542.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
40597
658.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
30732
499.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
406323
474.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
991015
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
331799
388.7 IPS |
|
|
Object Detection (SP)
|
100% |
23139
1.84 KIPS |
|
|
Object Detection (HP)
|
100% |
28580
2.27 KIPS |
|
|
Object Detection (Q)
|
84% |
19441
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
69018
820.1 IPS |
|
|
Face Detection (HP)
|
100% |
84632
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
59175
705.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
116512
897.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
189511
1.46 KIPS |
|
|
Depth Estimation (Q)
|
77% |
89080
713.5 IPS |
|
|
Style Transfer (SP)
|
100% |
614867
790.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1671463
2.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
559092
720.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72177
2.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99457
3.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52344
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2421
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6710
115.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6671
114.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3083
57.8 IPS |
