ASRock B650E Steel Legend WiFi
Geekbench AI Score
5992
Single Precision Score
2725
Half Precision Score
8545
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Redwoodz |
| Upload Date | October 22 2024 11:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E Steel Legend WiFi |
| Motherboard | ASRock B650E Steel Legend WiFi |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3788
704.5 IPS |
|
|
Image Classification (HP)
|
100% |
937
174.2 IPS |
|
|
Image Classification (Q)
|
99% |
8455
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2563
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4687
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13367
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10144
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
42057
49.3 IPS |
|
|
Object Detection (SP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (Q)
|
88% |
4693
376.2 IPS |
|
|
Face Detection (SP)
|
100% |
4809
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
2588
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
6804
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11525
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3863
29.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12933
103.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30580
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22693
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33752
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5747
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4659
172.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7362
272.6 IPS |
|
|
Text Classification (SP)
|
100% |
3327
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2780
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
60% |
4368
97.4 IPS |
