ASRock B650M-H/M.2+
Geekbench AI Score
21403
Single Precision Score
34946
Half Precision Score
14117
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | nano-onan |
| Upload Date | November 29 2025 10:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 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% |
11011
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
14025
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
8196
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17108
277.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21875
354.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12964
210.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
52033
60.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
240968
281.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
44402
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
14217
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
18739
1.49 KIPS |
|
|
Object Detection (Q)
|
87% |
10595
850.4 IPS |
|
|
Face Detection (SP)
|
100% |
31109
369.6 IPS |
|
|
Face Detection (HP)
|
100% |
43802
520.5 IPS |
|
|
Face Detection (Q)
|
97% |
21206
252.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
65522
504.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104455
804.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
36894
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
197723
254.2 IPS |
|
|
Style Transfer (HP)
|
100% |
562855
723.6 IPS |
|
|
Style Transfer (Q)
|
98% |
131889
170.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31860
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58087
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16675
617.5 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
1881
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1944
36.5 IPS |
