ASRock B650M Pro RS
Geekbench AI Score
12962
Single Precision Score
12944
Half Precision Score
32948
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | March 19 2026 01:08 AM |
| Views | 6 |
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% |
8854
1.65 KIPS |
|
|
Image Classification (HP)
|
100% |
8678
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
20394
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9016
146.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8794
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23400
379.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17321
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17356
20.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
67595
79.1 IPS |
|
|
Object Detection (SP)
|
100% |
7822
620.5 IPS |
|
|
Object Detection (HP)
|
100% |
7848
622.5 IPS |
|
|
Object Detection (Q)
|
88% |
21219
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
17813
211.7 IPS |
|
|
Face Detection (HP)
|
100% |
17846
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
53382
634.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19114
147.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19358
149.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
59892
466.1 IPS |
|
|
Style Transfer (SP)
|
100% |
47073
60.5 IPS |
|
|
Style Transfer (HP)
|
100% |
47238
60.7 IPS |
|
|
Style Transfer (Q)
|
98% |
173397
223.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10819
399.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10746
396.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31460
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
6369
8.50 KIPS |
|
|
Text Classification (HP)
|
100% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
92% |
9012
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
11216
193.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11213
193.2 IPS |
|
|
Machine Translation (Q)
|
100% |
14017
241.4 IPS |
