ASRock B650M Pro RS
Geekbench AI Score
34753
Single Precision Score
60646
Half Precision Score
26271
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | January 24 2026 03:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 IoT LTSC (64-bit) |
| Model | ASRock B650M Pro RS |
| Motherboard | ASRock B650M Pro RS |
| 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% |
14391
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
21858
4.06 KIPS |
|
|
Image Classification (Q)
|
100% |
12616
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25080
406.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36383
589.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22821
371.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
179260
209.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
727034
848.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
162053
189.8 IPS |
|
|
Object Detection (SP)
|
100% |
18316
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
30170
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
15188
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
54402
646.4 IPS |
|
|
Face Detection (HP)
|
100% |
79480
944.4 IPS |
|
|
Face Detection (Q)
|
97% |
44378
529.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
89873
692.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
159562
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67217
536.7 IPS |
|
|
Style Transfer (SP)
|
100% |
325093
417.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1044805
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
269580
347.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49320
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83625
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37871
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4998
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2372
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6927
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6967
120.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3060
57.4 IPS |
