ASUS System Product Name
Geekbench AI Score
40043
Single Precision Score
59423
Half Precision Score
29709
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:07 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Max-Q 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(R) Core(TM) 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 | 224.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14174
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
18902
3.52 KIPS |
|
|
Image Classification (Q)
|
100% |
12115
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27765
450.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
35104
569.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
25815
419.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
339049
395.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
819942
956.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
266583
312.3 IPS |
|
|
Object Detection (SP)
|
100% |
19911
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
25243
2.00 KIPS |
|
|
Object Detection (Q)
|
84% |
16772
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
60505
718.9 IPS |
|
|
Face Detection (HP)
|
100% |
75911
902.0 IPS |
|
|
Face Detection (Q)
|
97% |
51241
611.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
99524
766.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
163447
1.26 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72944
584.2 IPS |
|
|
Style Transfer (SP)
|
100% |
509853
655.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1437651
1.85 KIPS |
|
|
Style Transfer (Q)
|
98% |
463399
597.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61776
2.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84120
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44594
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4470
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1984
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5929
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5960
102.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2500
46.9 IPS |
