ASUS System Product Name
Geekbench AI Score
53351
Single Precision Score
79777
Half Precision Score
38911
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 04:28 PM |
| Views | 19 |
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% |
19202
3.57 KIPS |
|
|
Image Classification (HP)
|
100% |
24661
4.59 KIPS |
|
|
Image Classification (Q)
|
100% |
16247
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41143
667.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
52655
853.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
37877
615.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
445865
520.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051133
1.23 KIPS |
|
|
Pose Estimation (Q)
|
96% |
356568
417.7 IPS |
|
|
Object Detection (SP)
|
100% |
27428
2.18 KIPS |
|
|
Object Detection (HP)
|
100% |
36716
2.91 KIPS |
|
|
Object Detection (Q)
|
85% |
22940
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
82653
982.1 IPS |
|
|
Face Detection (HP)
|
100% |
110325
1.31 KIPS |
|
|
Face Detection (Q)
|
97% |
64261
766.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
118591
913.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
212672
1.64 KIPS |
|
|
Depth Estimation (Q)
|
77% |
83660
670.1 IPS |
|
|
Style Transfer (SP)
|
100% |
666780
857.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1858112
2.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
556896
718.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83337
3.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
109563
4.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58336
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4416
5.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5339
7.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2643
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
8040
138.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8171
140.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3425
64.2 IPS |
