ASRock B650M PG Riptide
Geekbench AI Score
13196
Single Precision Score
13122
Half Precision Score
30116
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 08:07 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M PG Riptide |
| Motherboard | ASRock B650M PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8769
1.63 KIPS |
|
|
Image Classification (HP)
|
100% |
8640
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
18076
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8614
139.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8542
138.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20216
327.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17213
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16864
19.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
68454
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
8750
694.0 IPS |
|
|
Object Detection (HP)
|
100% |
8891
705.2 IPS |
|
|
Object Detection (Q)
|
88% |
19683
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
20813
247.3 IPS |
|
|
Face Detection (HP)
|
100% |
20089
238.7 IPS |
|
|
Face Detection (Q)
|
100% |
47182
560.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22216
171.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22165
170.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
59957
466.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48852
62.8 IPS |
|
|
Style Transfer (HP)
|
100% |
47228
60.7 IPS |
|
|
Style Transfer (Q)
|
98% |
170132
219.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10925
403.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10920
403.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30739
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
6501
8.68 KIPS |
|
|
Text Classification (HP)
|
100% |
6704
8.95 KIPS |
|
|
Text Classification (Q)
|
92% |
8903
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
8773
151.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8886
153.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9466
163.1 IPS |
