ASRock X870 Pro-A WiFi
Geekbench AI Score
6858
Single Precision Score
2618
Half Precision Score
12389
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 29 2026 09:17 AM |
| Views | 4 |
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 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5118
951.7 IPS |
|
|
Image Classification (HP)
|
100% |
889
165.3 IPS |
|
|
Image Classification (Q)
|
99% |
12523
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17514
284.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18488
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12303
14.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
44530
52.2 IPS |
|
|
Object Detection (SP)
|
100% |
4736
375.7 IPS |
|
|
Object Detection (HP)
|
100% |
950
75.4 IPS |
|
|
Object Detection (Q)
|
86% |
11156
896.6 IPS |
|
|
Face Detection (SP)
|
100% |
11374
135.2 IPS |
|
|
Face Detection (HP)
|
100% |
2262
26.9 IPS |
|
|
Face Detection (Q)
|
97% |
14494
172.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15108
116.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3392
26.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
28127
224.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29992
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24231
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
42335
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4325
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3890
143.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5696
210.9 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1856
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3871
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4287
86.1 IPS |
