RTX 3060 12GB Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
10605
Single Precision Score
14518
Half Precision Score
7493
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | September 10 2024 08:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI DDR4 (MS-7D99) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4928
916.5 IPS |
|
|
Image Classification (HP)
|
100% |
4910
913.0 IPS |
|
|
Image Classification (Q)
|
100% |
3725
692.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7257
117.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8445
136.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6178
100.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41192
48.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
189638
221.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36818
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
6004
476.3 IPS |
|
|
Object Detection (HP)
|
100% |
6005
476.3 IPS |
|
|
Object Detection (Q)
|
89% |
4721
377.9 IPS |
|
|
Face Detection (SP)
|
100% |
11875
141.1 IPS |
|
|
Face Detection (HP)
|
100% |
11532
137.0 IPS |
|
|
Face Detection (Q)
|
97% |
9511
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23313
179.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
30735
236.8 IPS |
|
|
Depth Estimation (Q)
|
74% |
17028
138.5 IPS |
|
|
Style Transfer (SP)
|
100% |
79291
101.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229347
294.8 IPS |
|
|
Style Transfer (Q)
|
98% |
68268
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15988
590.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25838
954.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11058
409.5 IPS |
|
|
Text Classification (SP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1696
2.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1094
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2474
42.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1044
23.3 IPS |
