ASRock X870 Pro-A WiFi
Geekbench AI Score
5285
Single Precision Score
2134
Half Precision Score
10586
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | megachuv |
| Upload Date | November 22 2025 01:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| 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% |
4005
744.7 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
99% |
11273
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13416
218.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12209
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9597
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
42715
50.1 IPS |
|
|
Object Detection (SP)
|
100% |
4323
342.9 IPS |
|
|
Object Detection (HP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (Q)
|
86% |
11817
949.7 IPS |
|
|
Face Detection (SP)
|
100% |
8435
100.2 IPS |
|
|
Face Detection (HP)
|
100% |
1871
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
12815
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12703
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2938
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
22876
182.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25507
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22123
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
33492
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3332
123.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2577
95.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4859
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1399
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2699
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3469
69.7 IPS |
