X570 Steel Legend
Geekbench AI Score
2247
Single Precision Score
1014
Half Precision Score
2659
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 15 2026 05:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 Steel Legend |
| Motherboard | ASRock X570 Steel Legend |
| Power Plan | AMD Ryzen Balanced |
| 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% |
1786
332.2 IPS |
|
|
Image Classification (HP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
969
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
3051
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4044
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
3088
3.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
3940
4.66 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
58% |
1728
188.8 IPS |
|
|
Face Detection (SP)
|
100% |
3237
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (Q)
|
96% |
4344
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4554
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1541
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5629
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10008
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6841
8.79 IPS |
|
|
Style Transfer (Q)
|
87% |
7670
9.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1721
63.8 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
514
685.4 IPS |
|
|
Text Classification (Q)
|
97% |
789
1.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
68% |
1467
28.3 IPS |
