ASRock X870 Pro-A WiFi
Geekbench AI Score
9541
Single Precision Score
9679
Half Precision Score
25171
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | megachuv |
| Upload Date | November 22 2025 01:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| 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% |
5401
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5782
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
14037
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6145
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6368
103.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19005
308.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19385
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19413
22.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
76247
89.3 IPS |
|
|
Object Detection (SP)
|
100% |
5173
410.3 IPS |
|
|
Object Detection (HP)
|
100% |
5435
431.1 IPS |
|
|
Object Detection (Q)
|
88% |
14712
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
11147
132.5 IPS |
|
|
Face Detection (HP)
|
100% |
11566
137.4 IPS |
|
|
Face Detection (Q)
|
100% |
39176
465.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13587
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13719
105.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
41417
322.3 IPS |
|
|
Style Transfer (SP)
|
100% |
49149
63.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48614
62.5 IPS |
|
|
Style Transfer (Q)
|
98% |
185982
239.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10103
373.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10084
372.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28605
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3780
5.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5128
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6559
113.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6320
108.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7708
132.8 IPS |
