ASRock B650M Pro RS
Geekbench AI Score
34815
Single Precision Score
60822
Half Precision Score
26214
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | January 24 2026 03:24 PM |
| Views | 6 |
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% |
14398
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
21916
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
12632
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25052
406.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
36360
589.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22814
371.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
178935
208.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
726054
847.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
160841
188.4 IPS |
|
|
Object Detection (SP)
|
100% |
18349
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
30142
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
15339
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
54174
643.7 IPS |
|
|
Face Detection (HP)
|
100% |
78932
937.9 IPS |
|
|
Face Detection (Q)
|
97% |
44379
529.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
89590
690.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
159774
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66653
532.2 IPS |
|
|
Style Transfer (SP)
|
100% |
324360
417.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1059230
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
268851
346.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49307
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82896
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37587
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
5131
6.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2375
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6971
120.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6992
120.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3036
56.9 IPS |
