ASUS System Product Name
Geekbench AI Score
42699
Single Precision Score
61360
Half Precision Score
32067
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | mrtime |
| Upload Date | May 05 2025 05:20 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS WRX80E-SAGE SE WIFI II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper PRO 5955WX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 8 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14889
2.77 KIPS |
|
|
Image Classification (HP)
|
100% |
18723
3.48 KIPS |
|
|
Image Classification (Q)
|
100% |
12750
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31326
507.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
38968
631.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
29368
477.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
388715
453.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
870681
1.02 KIPS |
|
|
Pose Estimation (Q)
|
96% |
312764
366.4 IPS |
|
|
Object Detection (SP)
|
100% |
21315
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
26765
2.12 KIPS |
|
|
Object Detection (Q)
|
85% |
17867
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
65888
782.9 IPS |
|
|
Face Detection (HP)
|
100% |
85152
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
52785
629.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
101572
782.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
174151
1.34 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72745
582.7 IPS |
|
|
Style Transfer (SP)
|
100% |
571997
735.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1484993
1.91 KIPS |
|
|
Style Transfer (Q)
|
98% |
479436
618.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65391
2.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84313
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47795
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3757
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
6397
110.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6380
109.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2960
55.5 IPS |
