Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
10434
Single Precision Score
18069
Half Precision Score
6923
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:48 PM |
| Views | 2 |
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-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI (MS-7D96) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i3-13100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4126
767.3 IPS |
|
|
Image Classification (HP)
|
99% |
7118
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
3337
620.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6712
108.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10284
166.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5472
89.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
49654
57.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
145534
169.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
41780
48.9 IPS |
|
|
Object Detection (SP)
|
100% |
5012
397.6 IPS |
|
|
Object Detection (HP)
|
100% |
9500
753.6 IPS |
|
|
Object Detection (Q)
|
89% |
3515
281.3 IPS |
|
|
Face Detection (SP)
|
100% |
10425
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
17456
207.4 IPS |
|
|
Face Detection (Q)
|
97% |
7898
94.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23861
183.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47399
366.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
16893
136.1 IPS |
|
|
Style Transfer (SP)
|
100% |
85477
109.9 IPS |
|
|
Style Transfer (HP)
|
100% |
210950
271.2 IPS |
|
|
Style Transfer (Q)
|
98% |
67977
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16147
596.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26890
992.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9371
347.0 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
2683
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1099
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2865
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2912
50.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1011
22.6 IPS |
