ASRock B650M PG Riptide
Geekbench AI Score
14719
Single Precision Score
14737
Half Precision Score
34487
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | October 11 2025 03:50 PM |
| Views | 4 |
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% |
8966
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
9011
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
21124
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9983
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9890
160.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26005
421.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18103
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18025
21.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
71830
84.1 IPS |
|
|
Object Detection (SP)
|
100% |
9266
735.0 IPS |
|
|
Object Detection (HP)
|
100% |
9366
742.9 IPS |
|
|
Object Detection (Q)
|
88% |
22817
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
28332
336.6 IPS |
|
|
Face Detection (HP)
|
100% |
28310
336.4 IPS |
|
|
Face Detection (Q)
|
100% |
56859
675.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24059
185.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24117
185.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
65380
508.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51284
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50170
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
176146
227.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11281
416.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11294
417.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32053
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
6763
9.03 KIPS |
|
|
Text Classification (HP)
|
100% |
6769
9.03 KIPS |
|
|
Text Classification (Q)
|
92% |
8944
12.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
11926
205.4 IPS |
|
|
Machine Translation (HP)
|
100% |
12268
211.3 IPS |
|
|
Machine Translation (Q)
|
100% |
14083
242.6 IPS |
