ASUS System Product Name
Geekbench AI Score
48823
Single Precision Score
71657
Half Precision Score
36940
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 03:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17196
3.20 KIPS |
|
|
Image Classification (HP)
|
100% |
22467
4.18 KIPS |
|
|
Image Classification (Q)
|
100% |
14995
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36259
587.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
44326
718.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
32810
533.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
412217
481.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
1024262
1.20 KIPS |
|
|
Pose Estimation (Q)
|
96% |
338329
396.3 IPS |
|
|
Object Detection (SP)
|
100% |
24230
1.92 KIPS |
|
|
Object Detection (HP)
|
100% |
30790
2.44 KIPS |
|
|
Object Detection (Q)
|
84% |
20364
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
74285
882.7 IPS |
|
|
Face Detection (HP)
|
100% |
91826
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
63029
751.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
120516
928.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
194543
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
92421
740.2 IPS |
|
|
Style Transfer (SP)
|
100% |
630301
810.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1782863
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
569049
733.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74546
2.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97826
3.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53907
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4160
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5078
6.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2465
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
7063
121.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7184
123.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3169
59.4 IPS |
