ASRock B650M PG Lightning
Geekbench AI Score
29879
Single Precision Score
44928
Half Precision Score
22991
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | HKSong |
| Upload Date | February 04 2026 11:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASRock B650M PG Lightning |
| Motherboard | ASRock B650M PG Lightning |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11954
2.22 KIPS |
|
|
Image Classification (HP)
|
99% |
17571
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9976
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22948
372.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21868
354.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20421
332.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
167752
195.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
440802
514.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
152475
178.6 IPS |
|
|
Object Detection (SP)
|
100% |
14541
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
23281
1.85 KIPS |
|
|
Object Detection (Q)
|
85% |
12392
997.6 IPS |
|
|
Face Detection (SP)
|
100% |
42729
507.7 IPS |
|
|
Face Detection (HP)
|
100% |
59714
709.5 IPS |
|
|
Face Detection (Q)
|
97% |
36334
433.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
67041
516.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
121943
942.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
52433
419.2 IPS |
|
|
Style Transfer (SP)
|
100% |
299609
385.2 IPS |
|
|
Style Transfer (HP)
|
100% |
738465
949.3 IPS |
|
|
Style Transfer (Q)
|
98% |
270374
348.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47661
1.76 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63091
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35575
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3450
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
4142
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2116
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
6007
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6048
104.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2765
51.9 IPS |
