ASRock B650M PG Riptide
Geekbench AI Score
34647
Single Precision Score
40390
Half Precision Score
27607
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 08:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650M PG Riptide |
| Motherboard | ASRock B650M PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14844
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
14904
2.77 KIPS |
|
|
Image Classification (Q)
|
99% |
12640
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21147
342.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18863
305.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19466
316.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
279927
326.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
482597
563.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
243330
285.0 IPS |
|
|
Object Detection (SP)
|
100% |
17051
1.35 KIPS |
|
|
Object Detection (HP)
|
99% |
18387
1.46 KIPS |
|
|
Object Detection (Q)
|
87% |
14984
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
46515
552.7 IPS |
|
|
Face Detection (HP)
|
100% |
52196
620.2 IPS |
|
|
Face Detection (Q)
|
97% |
40719
485.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
82750
637.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96002
739.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
66024
529.1 IPS |
|
|
Style Transfer (SP)
|
100% |
445578
572.8 IPS |
|
|
Style Transfer (HP)
|
100% |
692192
889.8 IPS |
|
|
Style Transfer (Q)
|
98% |
389579
502.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49121
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64686
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39338
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4184
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4224
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2607
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4720
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4888
84.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2669
50.1 IPS |
