ASRock B650M PG Riptide
Geekbench AI Score
18836
Single Precision Score
32695
Half Precision Score
12205
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 23 2025 08:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B650M PG Riptide |
| Motherboard | ASRock B650M PG Riptide |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7808
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
12796
2.39 KIPS |
|
|
Image Classification (Q)
|
100% |
5675
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13628
220.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22275
361.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10430
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
96672
112.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
279536
326.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
78845
92.4 IPS |
|
|
Object Detection (SP)
|
100% |
9313
738.7 IPS |
|
|
Object Detection (HP)
|
100% |
16742
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
6990
562.7 IPS |
|
|
Face Detection (SP)
|
100% |
23103
274.5 IPS |
|
|
Face Detection (HP)
|
100% |
38462
457.0 IPS |
|
|
Face Detection (Q)
|
97% |
17407
207.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42181
325.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84659
652.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
28340
226.9 IPS |
|
|
Style Transfer (SP)
|
100% |
158047
203.2 IPS |
|
|
Style Transfer (HP)
|
100% |
408080
524.6 IPS |
|
|
Style Transfer (Q)
|
98% |
124227
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30490
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42412
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17474
647.0 IPS |
|
|
Text Classification (SP)
|
100% |
2675
3.57 KIPS |
|
|
Text Classification (HP)
|
99% |
3904
5.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1331
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4756
81.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1578
29.6 IPS |
