ASRock B650M Pro RS
Geekbench AI Score
13253
Single Precision Score
13236
Half Precision Score
34673
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | January 24 2026 03:30 PM |
| Views | 5 |
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% |
9113
1.69 KIPS |
|
|
Image Classification (HP)
|
100% |
9073
1.69 KIPS |
|
|
Image Classification (Q)
|
100% |
21454
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9444
153.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9152
148.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23619
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17837
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17889
20.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
70328
82.3 IPS |
|
|
Object Detection (SP)
|
100% |
8046
638.2 IPS |
|
|
Object Detection (HP)
|
100% |
8083
641.2 IPS |
|
|
Object Detection (Q)
|
88% |
22942
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
15282
181.6 IPS |
|
|
Face Detection (HP)
|
100% |
15628
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
56388
670.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
19483
150.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
19439
149.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
63844
496.8 IPS |
|
|
Style Transfer (SP)
|
100% |
49543
63.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49812
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
185189
238.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11458
423.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11531
425.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33532
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
6806
9.08 KIPS |
|
|
Text Classification (HP)
|
100% |
6790
9.06 KIPS |
|
|
Text Classification (Q)
|
92% |
9276
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
11767
202.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11603
199.9 IPS |
|
|
Machine Translation (Q)
|
100% |
14813
255.2 IPS |
