ASRock B650M Pro RS
Geekbench AI Score
34519
Single Precision Score
59813
Half Precision Score
26260
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Shakov9202 |
| Upload Date | March 23 2026 01:39 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 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% |
13965
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
21209
3.94 KIPS |
|
|
Image Classification (Q)
|
100% |
12480
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25794
418.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37681
610.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
23563
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
179921
209.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
714451
833.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
161607
189.3 IPS |
|
|
Object Detection (SP)
|
100% |
17985
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
29251
2.32 KIPS |
|
|
Object Detection (Q)
|
86% |
15279
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
53966
641.2 IPS |
|
|
Face Detection (HP)
|
100% |
78926
937.8 IPS |
|
|
Face Detection (Q)
|
97% |
45102
537.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89681
690.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
157382
1.21 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68230
544.8 IPS |
|
|
Style Transfer (SP)
|
100% |
321491
413.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1028137
1.32 KIPS |
|
|
Style Transfer (Q)
|
98% |
267955
345.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47528
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78836
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36727
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4878
6.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2296
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
7080
122.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7146
123.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3089
57.9 IPS |
