ASRock X870 Pro-A WiFi
Geekbench AI Score
1857
Single Precision Score
2050
Half Precision Score
1501
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | megachuv |
| Upload Date | November 22 2025 01:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
639
118.9 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (Q)
|
100% |
637
118.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
949
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6001
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
10368
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
4738
5.55 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
87% |
648
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
2054
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
2068
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1897
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3580
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4262
32.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3124
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10928
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16067
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9541
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2764
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3668
135.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2040
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.3 IPS |
|
|
Text Classification (HP)
|
100% |
884
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
489
655.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1082
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (Q)
|
70% |
558
10.5 IPS |
