ASRock B650I Lightning WiFi
Geekbench AI Score
40055
Single Precision Score
66605
Half Precision Score
30389
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 11:14 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650I Lightning WiFi |
| Motherboard | ASRock B650I Lightning WiFi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15667
2.91 KIPS |
|
|
Image Classification (HP)
|
100% |
22659
4.21 KIPS |
|
|
Image Classification (Q)
|
100% |
13842
2.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28962
469.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
40242
652.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
26504
431.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
258262
301.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
802506
936.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
220588
258.4 IPS |
|
|
Object Detection (SP)
|
100% |
21159
1.68 KIPS |
|
|
Object Detection (HP)
|
100% |
32051
2.54 KIPS |
|
|
Object Detection (Q)
|
86% |
18160
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
61851
734.9 IPS |
|
|
Face Detection (HP)
|
100% |
89726
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
50005
596.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
100048
770.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
188316
1.45 KIPS |
|
|
Depth Estimation (Q)
|
78% |
73582
587.6 IPS |
|
|
Style Transfer (SP)
|
100% |
377942
485.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1205353
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
328276
423.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60683
2.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94766
3.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46138
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
4167
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2612
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7250
124.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7347
126.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3140
58.9 IPS |
