ASRock B650M-HDV/M.2
Geekbench AI Score
4511
Single Precision Score
1658
Half Precision Score
9562
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 02:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3208
596.6 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.0 IPS |
|
|
Image Classification (Q)
|
99% |
8927
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11373
184.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7651
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
35437
41.5 IPS |
|
|
Object Detection (SP)
|
100% |
3280
260.2 IPS |
|
|
Object Detection (HP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (Q)
|
86% |
7539
605.9 IPS |
|
|
Face Detection (SP)
|
100% |
6421
76.3 IPS |
|
|
Face Detection (HP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
12381
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9926
76.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2658
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19361
154.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19643
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15358
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29828
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2768
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4567
169.1 IPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
674
899.2 IPS |
|
|
Text Classification (Q)
|
97% |
1642
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2885
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4395
88.3 IPS |
