ASRock B650M Pro RS
Geekbench AI Score
7593
Single Precision Score
2846
Half Precision Score
13422
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | March 19 2026 01:04 AM |
| Views | 3 |
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% |
8529
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
1178
219.1 IPS |
|
|
Image Classification (Q)
|
99% |
15057
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17944
291.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17058
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12335
14.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
53419
62.6 IPS |
|
|
Object Detection (SP)
|
100% |
7717
612.1 IPS |
|
|
Object Detection (HP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (Q)
|
86% |
11917
957.8 IPS |
|
|
Face Detection (SP)
|
100% |
13998
166.3 IPS |
|
|
Face Detection (HP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
13192
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12422
95.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3140
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
26072
208.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22534
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18623
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38501
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4237
156.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7287
269.8 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2244
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5095
102.4 IPS |
