ASRock B650M Pro RS
Geekbench AI Score
13432
Single Precision Score
13362
Half Precision Score
34540
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | December 23 2025 11:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| 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% |
9147
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
8779
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
21318
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9260
150.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9202
149.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24880
403.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18146
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18214
21.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
72262
84.6 IPS |
|
|
Object Detection (SP)
|
100% |
8428
668.5 IPS |
|
|
Object Detection (HP)
|
100% |
8433
668.9 IPS |
|
|
Object Detection (Q)
|
88% |
22874
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
16858
200.3 IPS |
|
|
Face Detection (HP)
|
100% |
16930
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
56408
670.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20830
160.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20834
160.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
64789
504.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49546
63.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49562
63.7 IPS |
|
|
Style Transfer (Q)
|
98% |
180772
233.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10954
404.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10888
402.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33490
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
6801
9.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6828
9.11 KIPS |
|
|
Text Classification (Q)
|
92% |
9217
12.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
11386
196.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11255
193.9 IPS |
|
|
Machine Translation (Q)
|
100% |
13521
232.9 IPS |
