ASRock B850I Lightning WiFi
Geekbench AI Score
11100
Single Precision Score
11171
Half Precision Score
29644
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | February 28 2026 06:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B850I Lightning WiFi |
| Motherboard | ASRock B850I Lightning WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7003
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7146
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
18663
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7573
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7777
126.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20966
339.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14138
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14340
16.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
57653
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
6688
530.5 IPS |
|
|
Object Detection (HP)
|
100% |
6749
535.3 IPS |
|
|
Object Detection (Q)
|
88% |
19634
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
15314
182.0 IPS |
|
|
Face Detection (HP)
|
100% |
15196
180.6 IPS |
|
|
Face Detection (Q)
|
100% |
47501
564.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16806
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16658
128.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
51741
402.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39594
50.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39974
51.4 IPS |
|
|
Style Transfer (Q)
|
98% |
147109
189.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8814
325.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8862
327.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27431
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
6112
8.16 KIPS |
|
|
Text Classification (HP)
|
100% |
6057
8.08 KIPS |
|
|
Text Classification (Q)
|
92% |
8901
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
10322
177.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10361
178.5 IPS |
|
|
Machine Translation (Q)
|
100% |
13406
230.9 IPS |
