ASRock B650M PG Riptide
Geekbench AI Score
35907
Single Precision Score
50791
Half Precision Score
30758
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | October 11 2025 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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% |
16975
3.16 KIPS |
|
|
Image Classification (HP)
|
100% |
19390
3.61 KIPS |
|
|
Image Classification (Q)
|
99% |
15726
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18659
302.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22187
359.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
24628
400.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
208305
243.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
638272
744.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
188823
221.2 IPS |
|
|
Object Detection (SP)
|
100% |
15578
1.24 KIPS |
|
|
Object Detection (HP)
|
99% |
21595
1.71 KIPS |
|
|
Object Detection (Q)
|
87% |
14251
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
53336
633.7 IPS |
|
|
Face Detection (HP)
|
100% |
64715
768.9 IPS |
|
|
Face Detection (Q)
|
97% |
46916
559.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
86436
665.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
131256
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71596
573.8 IPS |
|
|
Style Transfer (SP)
|
100% |
392430
504.5 IPS |
|
|
Style Transfer (HP)
|
100% |
725753
933.0 IPS |
|
|
Style Transfer (Q)
|
98% |
357086
460.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54361
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89130
3.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45146
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
5009
6.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
97% |
3413
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
7037
121.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7267
125.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3935
73.8 IPS |
