ASRock B650M-H/M.2+
Geekbench AI Score
1957
Single Precision Score
2152
Half Precision Score
1604
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | nano-onan |
| Upload Date | November 29 2025 10:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M-H/M.2+ |
| Motherboard | ASRock B650M-H/M.2+ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.0 IPS |
|
|
Image Classification (Q)
|
100% |
665
123.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1144
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
997
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6574
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
10781
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5915
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
718
56.9 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
87% |
679
54.6 IPS |
|
|
Face Detection (SP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
2010
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3779
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4515
34.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3295
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11262
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16321
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9898
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2103
77.9 IPS |
|
|
Text Classification (SP)
|
100% |
738
985.3 IPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
508
681.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (Q)
|
70% |
608
11.4 IPS |
