ASUS B650M - AMD Ryzen 9 7950X - ONNX ASUS System Product Name
Geekbench AI Score
5560
Single Precision Score
2078
Half Precision Score
10564
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | gpt |
| Upload Date | September 10 2025 09:40 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| 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% |
4520
840.6 IPS |
|
|
Image Classification (HP)
|
100% |
649
120.6 IPS |
|
|
Image Classification (Q)
|
99% |
9807
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14110
229.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15816
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10879
12.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
44607
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
4527
359.1 IPS |
|
|
Object Detection (HP)
|
100% |
838
66.4 IPS |
|
|
Object Detection (Q)
|
86% |
10359
832.6 IPS |
|
|
Face Detection (SP)
|
100% |
8024
95.3 IPS |
|
|
Face Detection (HP)
|
100% |
1565
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
11889
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13065
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3041
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23513
187.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29338
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26629
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32728
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2929
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4999
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1371
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2927
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4320
86.8 IPS |
