ASRock B650 Pro RS
Geekbench AI Score
34362
Single Precision Score
59364
Half Precision Score
25849
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 28 2025 08:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650 Pro RS |
| Motherboard | ASRock B650 Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14447
2.69 KIPS |
|
|
Image Classification (HP)
|
100% |
22261
4.14 KIPS |
|
|
Image Classification (Q)
|
100% |
12683
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25180
408.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
37375
605.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22671
368.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
176235
205.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
691592
807.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
158483
185.6 IPS |
|
|
Object Detection (SP)
|
100% |
17785
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
30167
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
14637
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
53639
637.3 IPS |
|
|
Face Detection (HP)
|
100% |
77456
920.3 IPS |
|
|
Face Detection (Q)
|
97% |
43221
515.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
86773
668.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
145225
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64184
512.5 IPS |
|
|
Style Transfer (SP)
|
100% |
324124
416.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1016874
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
268535
346.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48381
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79678
2.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36916
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3931
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4848
6.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
7017
120.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7088
122.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3052
57.2 IPS |
