CLX System Product Name
Geekbench AI Score
47118
Single Precision Score
70541
Half Precision Score
34872
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 06 2025 08:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | CLX System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
17267
3.21 KIPS |
|
|
Image Classification (HP)
|
100% |
22534
4.19 KIPS |
|
|
Image Classification (Q)
|
100% |
14970
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33764
547.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
42246
684.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
31298
508.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
403484
470.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
970677
1.13 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321885
377.0 IPS |
|
|
Object Detection (SP)
|
100% |
24359
1.93 KIPS |
|
|
Object Detection (HP)
|
100% |
31895
2.53 KIPS |
|
|
Object Detection (Q)
|
85% |
19925
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
74135
880.9 IPS |
|
|
Face Detection (HP)
|
100% |
99256
1.18 KIPS |
|
|
Face Detection (Q)
|
97% |
58712
700.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
107506
828.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
193249
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77433
620.2 IPS |
|
|
Style Transfer (SP)
|
100% |
587768
755.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1675964
2.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
497394
641.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71539
2.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95441
3.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52247
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
4095
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2434
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6860
118.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6908
119.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3078
57.7 IPS |
