ASRock B650M Pro RS
Geekbench AI Score
12424
Single Precision Score
12316
Half Precision Score
32278
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | March 23 2026 01:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 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% |
8810
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8104
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
20374
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7770
126.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7915
128.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22729
368.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17018
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17269
20.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
68062
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
7842
622.1 IPS |
|
|
Object Detection (HP)
|
100% |
7786
617.6 IPS |
|
|
Object Detection (Q)
|
88% |
21836
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
14372
170.8 IPS |
|
|
Face Detection (HP)
|
100% |
14327
170.2 IPS |
|
|
Face Detection (Q)
|
100% |
50743
602.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19206
148.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18919
145.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
59586
463.7 IPS |
|
|
Style Transfer (SP)
|
100% |
45847
58.9 IPS |
|
|
Style Transfer (HP)
|
100% |
45691
58.7 IPS |
|
|
Style Transfer (Q)
|
98% |
172254
222.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10211
377.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10174
375.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31471
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
6546
8.74 KIPS |
|
|
Text Classification (HP)
|
100% |
6547
8.74 KIPS |
|
|
Text Classification (Q)
|
92% |
9055
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
11341
195.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11292
194.5 IPS |
|
|
Machine Translation (Q)
|
100% |
12019
207.0 IPS |
