B450 Steel Legend
Geekbench AI Score
14932
Single Precision Score
17304
Half Precision Score
11008
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 04:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6650 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450 Steel Legend |
| Motherboard | ASRock B450 Steel Legend |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 4.73 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6503
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6812
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
5312
987.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9160
148.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7534
122.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7845
127.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
88109
102.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
142236
166.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
74237
87.0 IPS |
|
|
Object Detection (SP)
|
100% |
5782
458.7 IPS |
|
|
Object Detection (HP)
|
100% |
7090
562.4 IPS |
|
|
Object Detection (Q)
|
89% |
4719
377.7 IPS |
|
|
Face Detection (SP)
|
100% |
16773
199.3 IPS |
|
|
Face Detection (HP)
|
100% |
19426
230.8 IPS |
|
|
Face Detection (Q)
|
97% |
12686
151.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
38844
299.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
46434
357.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
29131
234.8 IPS |
|
|
Style Transfer (SP)
|
100% |
175951
226.2 IPS |
|
|
Style Transfer (HP)
|
100% |
224738
288.9 IPS |
|
|
Style Transfer (Q)
|
98% |
143824
185.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26488
978.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31334
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18016
667.1 IPS |
|
|
Text Classification (SP)
|
100% |
2062
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2442
3.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1334
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2902
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2999
51.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1402
31.3 IPS |
