WRX90 WS EVO
Geekbench AI Score
41471
Single Precision Score
59423
Half Precision Score
31550
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 03:41 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | WRX90 WS EVO |
| Motherboard | ASRock WRX90 WS EVO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 7975WX 32-Cores |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15192
2.83 KIPS |
|
|
Image Classification (HP)
|
100% |
19148
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
13331
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26568
430.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
31855
516.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
24943
405.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
382489
446.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
874341
1.02 KIPS |
|
|
Pose Estimation (Q)
|
96% |
311618
365.0 IPS |
|
|
Object Detection (SP)
|
100% |
20440
1.62 KIPS |
|
|
Object Detection (HP)
|
100% |
25450
2.02 KIPS |
|
|
Object Detection (Q)
|
85% |
17304
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
58307
692.8 IPS |
|
|
Face Detection (HP)
|
100% |
73151
869.2 IPS |
|
|
Face Detection (Q)
|
97% |
48730
581.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
102507
789.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
177263
1.37 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74439
596.2 IPS |
|
|
Style Transfer (SP)
|
100% |
564693
725.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1435900
1.85 KIPS |
|
|
Style Transfer (Q)
|
98% |
474537
611.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65842
2.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85745
3.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49627
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3741
4.99 KIPS |
|
|
Text Classification (HP)
|
100% |
4401
5.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2312
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5757
99.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2760
51.8 IPS |
