ASRock B650E PG Riptide WiFi
Geekbench AI Score
7264
Single Precision Score
7266
Half Precision Score
17695
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Hege |
| Upload Date | January 17 2025 10:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650E PG Riptide WiFi |
| Motherboard | ASRock B650E PG Riptide WiFi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4625
860.1 IPS |
|
|
Image Classification (HP)
|
100% |
4559
847.8 IPS |
|
|
Image Classification (Q)
|
100% |
10805
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4994
81.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4940
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12369
200.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8251
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
8299
9.68 IPS |
|
|
Pose Estimation (Q)
|
98% |
32793
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
4471
354.6 IPS |
|
|
Object Detection (HP)
|
100% |
4508
357.6 IPS |
|
|
Object Detection (Q)
|
88% |
11793
945.3 IPS |
|
|
Face Detection (SP)
|
100% |
14540
172.8 IPS |
|
|
Face Detection (HP)
|
100% |
14465
171.9 IPS |
|
|
Face Detection (Q)
|
100% |
29492
350.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11373
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11361
87.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
32013
249.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23129
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23276
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84087
108.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16252
601.9 IPS |
|
|
Text Classification (SP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4033
5.38 KIPS |
|
|
Text Classification (Q)
|
92% |
5915
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5997
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6007
103.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7630
131.4 IPS |
