B550 Steel Legend
Geekbench AI Score
3074
Single Precision Score
1557
Half Precision Score
3624
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Neferzix |
| Upload Date | October 25 2024 11:54 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| 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% |
1724
320.6 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
96% |
3972
741.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2279
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4653
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4373
5.10 IPS |
|
|
Pose Estimation (Q)
|
87% |
12567
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1966
156.0 IPS |
|
|
Object Detection (HP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
86% |
2216
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (Q)
|
96% |
4150
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6556
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2259
17.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
6809
54.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12495
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11064
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
14500
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2515
92.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3455
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2004
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
469
627.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2511
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2340
52.2 IPS |
