ASUS Pro WS WRX90E-SAGE SE ASUS System Product Name
Geekbench AI Score
45768
Single Precision Score
68847
Half Precision Score
34311
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Rate |
| Upload Date | November 28 2025 09:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX90E-SAGE SE |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 9965WX 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 26 Model 8 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16553
3.08 KIPS |
|
|
Image Classification (HP)
|
100% |
21158
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
14183
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39406
638.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
52604
852.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
35579
578.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
401940
469.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
959290
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
323181
378.6 IPS |
|
|
Object Detection (SP)
|
100% |
23185
1.84 KIPS |
|
|
Object Detection (HP)
|
100% |
31684
2.51 KIPS |
|
|
Object Detection (Q)
|
85% |
19314
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
74211
881.8 IPS |
|
|
Face Detection (HP)
|
100% |
98003
1.16 KIPS |
|
|
Face Detection (Q)
|
97% |
57789
689.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
103967
801.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
184645
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75861
607.6 IPS |
|
|
Style Transfer (SP)
|
100% |
581811
747.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1725137
2.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
487366
628.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64196
2.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82550
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48624
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3226
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2128
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
7137
122.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7209
124.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3248
60.9 IPS |
