ASRock X670E PG Lightning
Geekbench AI Score
5836
Single Precision Score
2279
Half Precision Score
7384
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 09:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock X670E PG Lightning |
| Motherboard | ASRock X670E PG Lightning |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4597
854.9 IPS |
|
|
Image Classification (HP)
|
100% |
822
152.9 IPS |
|
|
Image Classification (Q)
|
99% |
8777
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2581
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5041
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8421
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
6689
7.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
29584
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
4471
354.7 IPS |
|
|
Object Detection (HP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (Q)
|
86% |
6204
498.6 IPS |
|
|
Face Detection (SP)
|
100% |
12178
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
11606
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11430
88.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3096
23.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
22366
178.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21556
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
16837
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
19564
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3584
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3142
116.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6997
259.1 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1158
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
436
584.1 IPS |
|
|
Machine Translation (SP)
|
100% |
3867
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3834
77.0 IPS |
