ASRock B650 PG Lightning
Geekbench AI Score
47107
Single Precision Score
70160
Half Precision Score
34603
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 02 2025 11:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650 PG Lightning |
| Motherboard | ASRock B650 PG Lightning |
| 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% |
16482
3.07 KIPS |
|
|
Image Classification (HP)
|
100% |
21578
4.01 KIPS |
|
|
Image Classification (Q)
|
100% |
14149
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34586
560.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
43573
706.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
32121
522.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
415195
484.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
995586
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
331833
388.7 IPS |
|
|
Object Detection (SP)
|
100% |
24094
1.91 KIPS |
|
|
Object Detection (HP)
|
100% |
31873
2.53 KIPS |
|
|
Object Detection (Q)
|
85% |
19892
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
74544
885.7 IPS |
|
|
Face Detection (HP)
|
100% |
98287
1.17 KIPS |
|
|
Face Detection (Q)
|
97% |
58663
699.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
108319
834.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
191328
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78453
628.4 IPS |
|
|
Style Transfer (SP)
|
100% |
605260
778.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1713584
2.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
507973
655.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72668
2.68 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95746
3.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52052
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4638
6.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2265
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6780
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6770
116.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2977
55.8 IPS |
