ASRock B850I Lightning WiFi
Geekbench AI Score
11219
Single Precision Score
11292
Half Precision Score
30780
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | February 27 2026 08:22 AM |
| Views | 6 |
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% |
7694
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7615
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19637
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7495
121.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7713
125.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21640
350.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14654
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14599
17.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
60327
70.6 IPS |
|
|
Object Detection (SP)
|
100% |
6889
546.5 IPS |
|
|
Object Detection (HP)
|
100% |
6946
551.0 IPS |
|
|
Object Detection (Q)
|
88% |
20950
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
12920
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
13051
155.1 IPS |
|
|
Face Detection (Q)
|
100% |
49591
589.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16747
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16868
130.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
55182
429.4 IPS |
|
|
Style Transfer (SP)
|
100% |
40371
51.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40790
52.4 IPS |
|
|
Style Transfer (Q)
|
98% |
153241
197.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9004
332.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9106
336.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29484
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
6462
8.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6462
8.63 KIPS |
|
|
Text Classification (Q)
|
92% |
9172
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
10683
184.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10712
184.5 IPS |
|
|
Machine Translation (Q)
|
100% |
12534
215.9 IPS |
