ASUS System Product Name
Geekbench AI Score
44310
Single Precision Score
64016
Half Precision Score
33353
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 10:55 PM |
| Views | 2 |
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. Pro WS WRX90E-SAGE SE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7965WX 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16170
3.01 KIPS |
|
|
Image Classification (HP)
|
100% |
20014
3.72 KIPS |
|
|
Image Classification (Q)
|
100% |
13506
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29633
480.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
36295
588.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29618
481.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
395028
460.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
945312
1.10 KIPS |
|
|
Pose Estimation (Q)
|
94% |
318544
373.6 IPS |
|
|
Object Detection (SP)
|
100% |
22521
1.79 KIPS |
|
|
Object Detection (HP)
|
100% |
29148
2.31 KIPS |
|
|
Object Detection (Q)
|
89% |
19621
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
62219
739.3 IPS |
|
|
Face Detection (HP)
|
100% |
79787
948.0 IPS |
|
|
Face Detection (Q)
|
97% |
50477
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
111536
859.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
182167
1.40 KIPS |
|
|
Depth Estimation (Q)
|
74% |
82205
669.9 IPS |
|
|
Style Transfer (SP)
|
100% |
603570
775.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1555113
2.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
550695
710.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71230
2.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93186
3.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51853
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2333
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5973
102.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2465
55.0 IPS |
