B550 Steel Legend
Geekbench AI Score
6312
Single Precision Score
6690
Half Precision Score
4393
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Neferzix |
| Upload Date | October 26 2024 12:02 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 570 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | B550 Steel Legend |
| Motherboard | ASRock B550 Steel Legend |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2513
467.4 IPS |
|
|
Image Classification (HP)
|
100% |
2866
533.0 IPS |
|
|
Image Classification (Q)
|
99% |
1975
368.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3217
52.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3500
56.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2720
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33915
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33617
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
28084
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
2881
228.6 IPS |
|
|
Object Detection (HP)
|
100% |
2897
229.8 IPS |
|
|
Object Detection (Q)
|
89% |
2165
173.4 IPS |
|
|
Face Detection (SP)
|
100% |
7392
87.8 IPS |
|
|
Face Detection (HP)
|
100% |
9172
109.0 IPS |
|
|
Face Detection (Q)
|
97% |
5465
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15539
119.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17206
132.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
11118
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55727
71.6 IPS |
|
|
Style Transfer (HP)
|
100% |
63690
81.9 IPS |
|
|
Style Transfer (Q)
|
98% |
46657
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9308
343.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10362
382.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6008
222.5 IPS |
|
|
Text Classification (SP)
|
100% |
1110
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
652
872.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1924
33.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1948
33.7 IPS |
|
|
Machine Translation (Q)
|
60% |
739
16.7 IPS |
