ASRock B650M Pro RS
Geekbench AI Score
35809
Single Precision Score
62092
Half Precision Score
26961
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | December 23 2025 11:40 PM |
| Views | 9 |
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% |
14615
2.72 KIPS |
|
|
Image Classification (HP)
|
100% |
22324
4.15 KIPS |
|
|
Image Classification (Q)
|
100% |
12928
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26074
422.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
38165
618.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
23653
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
184739
215.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
741341
865.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
163388
191.4 IPS |
|
|
Object Detection (SP)
|
100% |
18913
1.50 KIPS |
|
|
Object Detection (HP)
|
100% |
30788
2.44 KIPS |
|
|
Object Detection (Q)
|
86% |
15677
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
55752
662.5 IPS |
|
|
Face Detection (HP)
|
100% |
81021
962.7 IPS |
|
|
Face Detection (Q)
|
97% |
45162
538.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
92040
709.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
161768
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68781
549.2 IPS |
|
|
Style Transfer (SP)
|
100% |
335368
431.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1076453
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
277067
357.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50733
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83604
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39009
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4095
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
5098
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2497
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7283
125.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7285
125.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3091
58.0 IPS |
