ASRock B650M PG Riptide
Geekbench AI Score
36216
Single Precision Score
52174
Half Precision Score
31049
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | CatCat |
| Upload Date | March 06 2026 01:19 PM |
| Views | 9 |
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% |
16976
3.16 KIPS |
|
|
Image Classification (HP)
|
100% |
19915
3.70 KIPS |
|
|
Image Classification (Q)
|
99% |
15728
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18964
307.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22430
363.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
24730
402.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
208092
242.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
627041
731.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
190196
222.8 IPS |
|
|
Object Detection (SP)
|
100% |
15604
1.24 KIPS |
|
|
Object Detection (HP)
|
99% |
21904
1.74 KIPS |
|
|
Object Detection (Q)
|
87% |
14348
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
54120
643.1 IPS |
|
|
Face Detection (HP)
|
100% |
66930
795.3 IPS |
|
|
Face Detection (Q)
|
97% |
47426
565.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
85946
662.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
133948
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71833
575.7 IPS |
|
|
Style Transfer (SP)
|
100% |
397041
510.4 IPS |
|
|
Style Transfer (HP)
|
100% |
713859
917.7 IPS |
|
|
Style Transfer (Q)
|
98% |
358090
461.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53674
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88194
3.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44722
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
5140
6.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5764
7.69 KIPS |
|
|
Text Classification (Q)
|
97% |
3613
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
7289
125.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7489
129.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3981
74.7 IPS |
