ASRock B650M-H/M.2+
Geekbench AI Score
5888
Single Precision Score
2530
Half Precision Score
11348
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | nano-onan |
| Upload Date | November 29 2025 10:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| 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% |
4419
821.9 IPS |
|
|
Image Classification (HP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (Q)
|
99% |
11035
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16157
262.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15035
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11424
13.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
55262
64.8 IPS |
|
|
Object Detection (SP)
|
100% |
4594
364.4 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.2 IPS |
|
|
Object Detection (Q)
|
86% |
12850
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
8310
98.7 IPS |
|
|
Face Detection (HP)
|
100% |
2209
26.3 IPS |
|
|
Face Detection (Q)
|
97% |
13904
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13134
101.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3776
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
26611
212.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29161
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24540
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
38192
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3221
118.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3079
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
993
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1757
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3315
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3662
73.6 IPS |
