ASRock B650M Pro RS
Geekbench AI Score
8601
Single Precision Score
3453
Half Precision Score
14550
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | March 23 2026 01:35 AM |
| Views | 8 |
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% |
8145
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
1271
236.4 IPS |
|
|
Image Classification (Q)
|
99% |
14618
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
17966
292.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16825
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13014
15.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
52151
61.1 IPS |
|
|
Object Detection (SP)
|
100% |
8138
645.5 IPS |
|
|
Object Detection (HP)
|
100% |
1584
125.7 IPS |
|
|
Object Detection (Q)
|
86% |
14097
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
11502
136.7 IPS |
|
|
Face Detection (HP)
|
100% |
3205
38.1 IPS |
|
|
Face Detection (Q)
|
97% |
15612
186.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19890
153.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4729
36.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
33127
264.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36675
47.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27906
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
42282
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6522
240.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5227
193.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7272
269.3 IPS |
|
|
Text Classification (SP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1518
2.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2618
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4840
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5292
106.3 IPS |
