X570 Steel Legend WiFi ax
Geekbench AI Score
3930
Single Precision Score
3967
Half Precision Score
4495
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mvildosola |
| Upload Date | September 04 2025 05:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | X570 Steel Legend WiFi ax |
| Motherboard | ASRock X570 Steel Legend WiFi ax |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2583
480.4 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.8 IPS |
|
|
Image Classification (Q)
|
100% |
3020
561.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3645
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6756
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
6769
7.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
7304
8.57 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (Q)
|
87% |
3099
248.5 IPS |
|
|
Face Detection (SP)
|
100% |
4974
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
4989
59.3 IPS |
|
|
Face Detection (Q)
|
97% |
10013
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6978
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7158
55.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
8134
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18647
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18254
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20509
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3650
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4073
150.9 IPS |
|
|
Text Classification (SP)
|
100% |
2206
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (Q)
|
91% |
623
836.8 IPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3189
54.9 IPS |
