X570 Steel Legend WiFi ax
Geekbench AI Score
27977
Single Precision Score
33408
Half Precision Score
22406
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mvildosola |
| Upload Date | September 04 2025 05:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| 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% |
11930
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
12937
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
11102
2.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19498
316.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16661
270.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16997
276.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
184626
215.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
326090
380.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
162326
190.1 IPS |
|
|
Object Detection (SP)
|
100% |
13669
1.08 KIPS |
|
|
Object Detection (HP)
|
99% |
14117
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
12153
976.0 IPS |
|
|
Face Detection (SP)
|
100% |
38286
454.9 IPS |
|
|
Face Detection (HP)
|
100% |
43336
514.9 IPS |
|
|
Face Detection (Q)
|
97% |
33270
396.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
68813
530.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
82902
638.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
55191
442.3 IPS |
|
|
Style Transfer (SP)
|
100% |
320872
412.5 IPS |
|
|
Style Transfer (HP)
|
100% |
515042
662.1 IPS |
|
|
Style Transfer (Q)
|
98% |
279952
361.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36633
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54359
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29465
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3376
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2234
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4788
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4926
84.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2532
47.5 IPS |
