ASRock X670E Steel Legend
Geekbench AI Score
5984
Single Precision Score
2403
Half Precision Score
10068
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Retro77 |
| Upload Date | March 29 2025 12:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5019
933.4 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
99% |
9899
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2680
43.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4557
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9134
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7628
8.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
31846
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4793
380.2 IPS |
|
|
Object Detection (HP)
|
100% |
1099
87.2 IPS |
|
|
Object Detection (Q)
|
86% |
10388
834.8 IPS |
|
|
Face Detection (SP)
|
100% |
11239
133.5 IPS |
|
|
Face Detection (HP)
|
100% |
2647
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
12435
148.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12378
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3393
26.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
21552
172.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23388
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18793
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37699
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3351
123.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5119
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2330
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5951
119.6 IPS |
