ASRock B650M Pro RS
Geekbench AI Score
9051
Single Precision Score
3590
Half Precision Score
15107
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | December 23 2025 11:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Windows 11 IoT LTSC (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8452
1.57 KIPS |
|
|
Image Classification (HP)
|
100% |
1253
232.9 IPS |
|
|
Image Classification (Q)
|
99% |
14184
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18123
294.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17650
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13656
15.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
55511
65.1 IPS |
|
|
Object Detection (SP)
|
100% |
8302
658.5 IPS |
|
|
Object Detection (HP)
|
100% |
1648
130.7 IPS |
|
|
Object Detection (Q)
|
86% |
15767
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
12961
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (Q)
|
97% |
15712
187.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20724
159.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4884
37.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
34960
279.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39413
50.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29732
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
44153
56.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6460
238.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6970
258.1 IPS |
|
|
Text Classification (SP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2665
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5466
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1624
28.0 IPS |
|
|
Machine Translation (Q)
|
65% |
6112
122.8 IPS |
