Ryzen 9 9550X3D ASUS X870e ProArt 4090 Strix 96GB ASUS System Product Name
Geekbench AI Score
43032
Single Precision Score
60447
Half Precision Score
32093
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Mommel |
| Upload Date | March 29 2025 01:23 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X870E-CREATOR WIFI |
| Power Plan | Ausbalanciert |
| 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% |
15479
2.88 KIPS |
|
|
Image Classification (HP)
|
99% |
20893
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
13150
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28591
463.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
37287
604.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26097
424.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
331376
386.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
583134
680.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
288518
338.0 IPS |
|
|
Object Detection (SP)
|
100% |
21311
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
28810
2.29 KIPS |
|
|
Object Detection (Q)
|
86% |
17840
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
61928
735.8 IPS |
|
|
Face Detection (HP)
|
100% |
79919
949.6 IPS |
|
|
Face Detection (Q)
|
97% |
51503
614.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
104577
805.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
173674
1.34 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75640
605.0 IPS |
|
|
Style Transfer (SP)
|
100% |
604555
777.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1211228
1.56 KIPS |
|
|
Style Transfer (Q)
|
98% |
514255
663.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67567
2.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91699
3.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48791
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5000
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2349
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6568
113.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6456
111.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2858
53.6 IPS |
