ASUS System Product Name
Geekbench AI Score
38723
Single Precision Score
56918
Half Precision Score
29171
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 02:11 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13768
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
18093
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
12010
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27059
438.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
33328
540.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24633
400.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
331540
386.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
786553
917.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
272477
319.2 IPS |
|
|
Object Detection (SP)
|
100% |
18471
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
23059
1.83 KIPS |
|
|
Object Detection (Q)
|
84% |
15722
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
57481
683.0 IPS |
|
|
Face Detection (HP)
|
100% |
71059
844.3 IPS |
|
|
Face Detection (Q)
|
97% |
48622
579.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
95021
732.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
155490
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73368
587.6 IPS |
|
|
Style Transfer (SP)
|
100% |
482250
619.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1388659
1.79 KIPS |
|
|
Style Transfer (Q)
|
98% |
442452
570.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59810
2.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81300
3.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43142
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3595
4.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4535
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2028
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5867
101.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5768
99.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2550
47.8 IPS |
