NVIDIA GeForce RTX 5090 - ONNX DirectML ASUS System Product Name
Geekbench AI Score
49251
Single Precision Score
74223
Half Precision Score
36206
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | Tycho |
| Upload Date | October 17 2025 01:11 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
18104
3.37 KIPS |
|
|
Image Classification (HP)
|
100% |
23861
4.44 KIPS |
|
|
Image Classification (Q)
|
100% |
15768
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34596
560.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
42771
693.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
31130
506.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
417808
487.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1032741
1.21 KIPS |
|
|
Pose Estimation (Q)
|
96% |
332833
389.9 IPS |
|
|
Object Detection (SP)
|
100% |
25782
2.05 KIPS |
|
|
Object Detection (HP)
|
100% |
34525
2.74 KIPS |
|
|
Object Detection (Q)
|
85% |
20904
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
78940
938.0 IPS |
|
|
Face Detection (HP)
|
100% |
106766
1.27 KIPS |
|
|
Face Detection (Q)
|
97% |
61869
737.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
109791
845.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
199403
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79074
633.3 IPS |
|
|
Style Transfer (SP)
|
100% |
628417
807.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1832635
2.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
522797
674.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77201
2.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103575
3.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55587
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
4338
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5057
6.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2554
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6824
117.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6824
117.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3122
58.6 IPS |
