ASRock X670E PG Lightning
Geekbench AI Score
4203
Single Precision Score
1531
Half Precision Score
7856
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 11:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E PG Lightning |
| Motherboard | ASRock X670E PG Lightning |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3453
642.2 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
99% |
7839
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3521
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8894
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6622
7.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
33687
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
86% |
9355
751.8 IPS |
|
|
Face Detection (SP)
|
100% |
6439
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
1290
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
11631
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8928
68.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2418
18.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17642
140.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20171
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16673
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25322
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2017
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3445
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.6 IPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2740
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4070
81.8 IPS |
