RTX3050 6GB Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
9225
Single Precision Score
17470
Half Precision Score
6365
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | September 10 2024 07:39 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| 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% |
3859
717.7 IPS |
|
|
Image Classification (HP)
|
99% |
7602
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
3035
564.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5774
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9432
152.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4818
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
38111
44.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
128064
149.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
32067
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
9287
736.6 IPS |
|
|
Object Detection (Q)
|
89% |
3607
288.7 IPS |
|
|
Face Detection (SP)
|
100% |
8870
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
15503
184.2 IPS |
|
|
Face Detection (Q)
|
97% |
6826
81.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20753
159.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46332
357.0 IPS |
|
|
Depth Estimation (Q)
|
71% |
14660
121.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68550
88.1 IPS |
|
|
Style Transfer (HP)
|
100% |
183857
236.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54749
70.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14109
521.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27128
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8857
328.0 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
3019
4.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2872
49.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1031
23.0 IPS |
