ASRock B650M PG Riptide WiFi
Geekbench AI Score
2625
Single Precision Score
1248
Half Precision Score
5998
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 02:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M PG Riptide WiFi |
| Motherboard | ASRock B650M PG Riptide WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
448
83.3 IPS |
|
|
Image Classification (Q)
|
99% |
6167
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
6246
101.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4208
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
3612
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
16362
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.4 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.2 IPS |
|
|
Object Detection (Q)
|
86% |
5724
460.0 IPS |
|
|
Face Detection (SP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
7623
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5617
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1828
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8554
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9965
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9449
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15004
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1714
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1661
61.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4787
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
1556
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
744
993.3 IPS |
|
|
Text Classification (Q)
|
97% |
1460
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1767
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2444
49.1 IPS |
