B660 Pro RS
Geekbench AI Score
16590
Single Precision Score
27744
Half Precision Score
11148
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Shougeki |
| Upload Date | January 24 2025 12:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | B660 Pro RS |
| Motherboard | ASRock B660 Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7157
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
11436
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
5274
980.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
9930
161.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14011
227.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8152
132.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
89584
104.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
256957
299.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
75462
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
8492
673.6 IPS |
|
|
Object Detection (HP)
|
100% |
14620
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
6466
520.6 IPS |
|
|
Face Detection (SP)
|
100% |
19342
229.8 IPS |
|
|
Face Detection (HP)
|
100% |
29615
351.9 IPS |
|
|
Face Detection (Q)
|
97% |
15297
182.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
40465
311.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
79489
612.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
27428
219.6 IPS |
|
|
Style Transfer (SP)
|
100% |
151842
195.2 IPS |
|
|
Style Transfer (HP)
|
100% |
381228
490.1 IPS |
|
|
Style Transfer (Q)
|
98% |
120865
155.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29140
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40338
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16619
615.4 IPS |
|
|
Text Classification (SP)
|
100% |
2613
3.49 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1277
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3230
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1314
24.6 IPS |
