ASUS B650M - NVIDIA GeForce RTX 3090 - ONNX ASUS System Product Name
Geekbench AI Score
27400
Single Precision Score
41148
Half Precision Score
16180
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gpt |
| Upload Date | September 10 2025 09:42 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10361
1.93 KIPS |
|
|
Image Classification (HP)
|
99% |
14780
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
6843
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19354
313.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28096
455.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13279
215.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
185855
216.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
386141
450.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
136765
160.2 IPS |
|
|
Object Detection (SP)
|
100% |
13674
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
19565
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
8994
723.5 IPS |
|
|
Face Detection (SP)
|
100% |
37883
450.1 IPS |
|
|
Face Detection (HP)
|
100% |
54429
646.7 IPS |
|
|
Face Detection (Q)
|
97% |
24143
287.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
68055
524.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
118005
909.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
39688
317.8 IPS |
|
|
Style Transfer (SP)
|
100% |
294348
378.4 IPS |
|
|
Style Transfer (HP)
|
100% |
686220
882.1 IPS |
|
|
Style Transfer (Q)
|
98% |
202967
261.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41273
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59297
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23011
852.1 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1484
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5090
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1657
31.1 IPS |
