B550M PG Riptide
Geekbench AI Score
18152
Single Precision Score
29887
Half Precision Score
14077
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | bustermoddy |
| Upload Date | August 21 2024 09:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M PG Riptide |
| Motherboard | ASRock B550M PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7775
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
11919
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
6796
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12658
205.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16398
265.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11605
188.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
91013
106.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
311444
363.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
82771
96.9 IPS |
|
|
Object Detection (SP)
|
100% |
9295
737.3 IPS |
|
|
Object Detection (HP)
|
100% |
14938
1.18 KIPS |
|
|
Object Detection (Q)
|
89% |
8217
658.0 IPS |
|
|
Face Detection (SP)
|
100% |
21170
251.5 IPS |
|
|
Face Detection (HP)
|
100% |
31567
375.1 IPS |
|
|
Face Detection (Q)
|
97% |
17503
208.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43598
335.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
82559
636.1 IPS |
|
|
Depth Estimation (Q)
|
72% |
34455
284.7 IPS |
|
|
Style Transfer (SP)
|
100% |
174255
224.0 IPS |
|
|
Style Transfer (HP)
|
100% |
428184
550.4 IPS |
|
|
Style Transfer (Q)
|
98% |
159030
205.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30248
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45834
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22966
850.4 IPS |
|
|
Text Classification (SP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3293
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1767
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3713
63.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1464
32.6 IPS |
