ASRock B650E PG Riptide WiFi
Geekbench AI Score
7332
Single Precision Score
7365
Half Precision Score
18136
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Hege |
| Upload Date | March 11 2025 03:12 PM |
| Views | 3 |
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 |
| 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% |
4649
864.5 IPS |
|
|
Image Classification (HP)
|
100% |
4641
863.1 IPS |
|
|
Image Classification (Q)
|
100% |
10897
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5013
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5015
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12495
202.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8291
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
8314
9.70 IPS |
|
|
Pose Estimation (Q)
|
98% |
33242
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
4561
361.8 IPS |
|
|
Object Detection (HP)
|
100% |
4593
364.3 IPS |
|
|
Object Detection (Q)
|
88% |
11866
951.2 IPS |
|
|
Face Detection (SP)
|
100% |
14626
173.8 IPS |
|
|
Face Detection (HP)
|
100% |
14342
170.4 IPS |
|
|
Face Detection (Q)
|
100% |
30868
366.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11808
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11699
90.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
33011
256.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23416
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23457
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85184
109.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5035
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5334
197.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16781
621.5 IPS |
|
|
Text Classification (SP)
|
100% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
92% |
6130
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
6227
107.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6158
106.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8031
138.3 IPS |
