ASRock B650M-HDV/M.2
Geekbench AI Score
14662
Single Precision Score
14669
Half Precision Score
36815
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 12:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASRock B650M-HDV/M.2 |
| Motherboard | ASRock B650M-HDV/M.2 |
| Power Plan | AMD Ryzen [Zen4] Ultimate HighPower 11-v5 |
| 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% |
9747
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9791
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
22779
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10576
171.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10565
171.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26936
436.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18496
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18573
21.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
74378
87.1 IPS |
|
|
Object Detection (SP)
|
100% |
8930
708.4 IPS |
|
|
Object Detection (HP)
|
100% |
8991
713.2 IPS |
|
|
Object Detection (Q)
|
88% |
24160
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
20751
246.6 IPS |
|
|
Face Detection (HP)
|
100% |
20787
247.0 IPS |
|
|
Face Detection (Q)
|
100% |
60153
714.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21976
169.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22096
170.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
67572
525.8 IPS |
|
|
Style Transfer (SP)
|
100% |
52359
67.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52383
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
188594
243.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11723
432.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11758
434.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34943
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7494
10.0 KIPS |
|
|
Text Classification (HP)
|
100% |
7448
9.94 KIPS |
|
|
Text Classification (Q)
|
92% |
9895
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
12858
221.5 IPS |
|
|
Machine Translation (HP)
|
100% |
12682
218.5 IPS |
|
|
Machine Translation (Q)
|
100% |
15651
269.6 IPS |
