ASRock B650E PG-ITX WiFi
Geekbench AI Score
3921
Single Precision Score
1014
Half Precision Score
5141
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vassourabfc |
| Upload Date | September 10 2024 04:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E PG-ITX WiFi |
| Motherboard | ASRock B650E PG-ITX WiFi |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2664
495.4 IPS |
|
|
Image Classification (HP)
|
100% |
193
36.0 IPS |
|
|
Image Classification (Q)
|
99% |
5254
979.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
322
5.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
2721
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6318
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5000
5.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
23784
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
88% |
2680
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
4210
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
407
4.84 IPS |
|
|
Face Detection (Q)
|
97% |
5597
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7689
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1246
9.60 IPS |
|
|
Depth Estimation (Q)
|
76% |
11616
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15492
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12471
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29005
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3150
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4608
170.6 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
494
661.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
60% |
3303
73.7 IPS |
