ASRock B650M PG Riptide
Geekbench AI Score
14379
Single Precision Score
14376
Half Precision Score
33696
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | March 06 2026 01:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | ASRock B650M PG Riptide |
| Motherboard | ASRock B650M PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8819
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8824
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
20492
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9771
158.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9591
155.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25542
414.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17877
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18084
21.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
70602
82.7 IPS |
|
|
Object Detection (SP)
|
100% |
9197
729.5 IPS |
|
|
Object Detection (HP)
|
100% |
9206
730.2 IPS |
|
|
Object Detection (Q)
|
88% |
22098
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
28358
337.0 IPS |
|
|
Face Detection (HP)
|
100% |
28369
337.1 IPS |
|
|
Face Detection (Q)
|
100% |
56003
665.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23646
182.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23736
182.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
62921
489.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49659
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49869
64.1 IPS |
|
|
Style Transfer (Q)
|
98% |
174881
225.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10930
403.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10963
404.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31463
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
6352
8.48 KIPS |
|
|
Text Classification (HP)
|
100% |
6334
8.45 KIPS |
|
|
Text Classification (Q)
|
92% |
8569
11.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
11541
198.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11481
197.8 IPS |
|
|
Machine Translation (Q)
|
100% |
13909
239.6 IPS |
