ASRock B650M Pro RS
Geekbench AI Score
9036
Single Precision Score
3519
Half Precision Score
14993
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | March 19 2026 01:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| 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% |
8795
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
1262
234.7 IPS |
|
|
Image Classification (Q)
|
99% |
15116
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17944
291.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16985
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12972
15.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
54016
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
7896
626.3 IPS |
|
|
Object Detection (HP)
|
100% |
1608
127.6 IPS |
|
|
Object Detection (Q)
|
86% |
15608
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
13716
163.0 IPS |
|
|
Face Detection (HP)
|
100% |
3263
38.8 IPS |
|
|
Face Detection (Q)
|
97% |
15746
187.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20039
154.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4713
36.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
31765
253.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40050
51.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28637
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
43326
55.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6382
235.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5168
190.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7163
265.2 IPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2614
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5334
91.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1640
28.2 IPS |
|
|
Machine Translation (Q)
|
65% |
6188
124.4 IPS |
