ASRock B650M Pro X3D
Geekbench AI Score
29831
Single Precision Score
52877
Half Precision Score
22953
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 29 2025 11:42 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650M Pro X3D |
| Motherboard | ASRock B650M Pro X3D |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11649
2.17 KIPS |
|
|
Image Classification (HP)
|
100% |
19986
3.72 KIPS |
|
|
Image Classification (Q)
|
100% |
10529
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22318
361.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
34293
555.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20169
328.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
168880
197.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
494339
576.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
145583
170.5 IPS |
|
|
Object Detection (SP)
|
100% |
16051
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
27492
2.18 KIPS |
|
|
Object Detection (Q)
|
83% |
13291
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
43938
522.1 IPS |
|
|
Face Detection (HP)
|
100% |
66747
793.1 IPS |
|
|
Face Detection (Q)
|
97% |
36779
438.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
71061
547.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
133662
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55330
441.6 IPS |
|
|
Style Transfer (SP)
|
100% |
233252
299.8 IPS |
|
|
Style Transfer (HP)
|
100% |
817593
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
202368
260.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43199
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80113
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34223
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4591
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2365
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6839
117.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2964
55.6 IPS |
