ASUS System Product Name
Geekbench AI Score
50791
Single Precision Score
77332
Half Precision Score
37056
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 04:24 PM |
| Views | 7 |
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. ROG CROSSHAIR X870E HERO |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18231
3.39 KIPS |
|
|
Image Classification (HP)
|
100% |
23822
4.43 KIPS |
|
|
Image Classification (Q)
|
100% |
15641
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39897
646.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
52166
845.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
36650
596.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
412015
480.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
982179
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
330557
387.2 IPS |
|
|
Object Detection (SP)
|
100% |
26144
2.07 KIPS |
|
|
Object Detection (HP)
|
100% |
36337
2.88 KIPS |
|
|
Object Detection (Q)
|
85% |
21982
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
79519
944.9 IPS |
|
|
Face Detection (HP)
|
100% |
108898
1.29 KIPS |
|
|
Face Detection (Q)
|
97% |
61868
737.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
110287
849.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
203470
1.57 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77902
624.0 IPS |
|
|
Style Transfer (SP)
|
100% |
620854
798.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1791320
2.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
519258
669.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78764
2.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104011
3.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55961
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4320
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5236
6.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2546
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
7872
135.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7979
137.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3287
61.7 IPS |
