ASRock X870 Pro-A WiFi
Geekbench AI Score
28455
Single Precision Score
52490
Half Precision Score
22476
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | megachuv |
| Upload Date | November 22 2025 01:15 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X870 Pro-A WiFi |
| Motherboard | ASRock X870 Pro-A WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9540
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
18896
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
9955
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22181
359.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
34716
562.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
20742
337.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
163598
190.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
492065
574.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
142018
166.4 IPS |
|
|
Object Detection (SP)
|
100% |
15387
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
26963
2.14 KIPS |
|
|
Object Detection (Q)
|
83% |
12918
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
42433
504.2 IPS |
|
|
Face Detection (HP)
|
100% |
65877
782.8 IPS |
|
|
Face Detection (Q)
|
97% |
35881
427.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
69114
532.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
136909
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54150
432.2 IPS |
|
|
Style Transfer (SP)
|
100% |
229110
294.5 IPS |
|
|
Style Transfer (HP)
|
100% |
788049
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
196537
253.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40610
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81975
3.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32845
1.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
4603
6.14 KIPS |
|
|
Text Classification (Q)
|
97% |
2336
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6474
111.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6803
117.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2965
55.6 IPS |
