ASRock B850I Lightning WiFi
Geekbench AI Score
11102
Single Precision Score
11185
Half Precision Score
29669
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | monopuerco |
| Upload Date | February 28 2026 06:00 AM |
| Views | 5 |
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% |
7153
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7297
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
18557
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7579
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7801
126.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21218
344.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14073
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
14264
16.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
57877
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
6749
535.3 IPS |
|
|
Object Detection (HP)
|
100% |
6641
526.8 IPS |
|
|
Object Detection (Q)
|
88% |
19712
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
15408
183.1 IPS |
|
|
Face Detection (HP)
|
100% |
15090
179.3 IPS |
|
|
Face Detection (Q)
|
100% |
48420
575.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16433
126.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
16559
127.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
51472
400.6 IPS |
|
|
Style Transfer (SP)
|
100% |
39349
50.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40108
51.6 IPS |
|
|
Style Transfer (Q)
|
98% |
145696
187.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8657
319.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8863
327.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27448
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
6122
8.17 KIPS |
|
|
Text Classification (HP)
|
100% |
6153
8.21 KIPS |
|
|
Text Classification (Q)
|
92% |
8880
11.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
10467
180.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10401
179.2 IPS |
|
|
Machine Translation (Q)
|
100% |
13295
229.0 IPS |
