Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
2929
Single Precision Score
2942
Half Precision Score
6971
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 06:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i3-13100F |
| 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% |
1870
347.8 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
100% |
4491
835.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3992
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3056
3.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3118
3.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
11706
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
1729
137.2 IPS |
|
|
Object Detection (Q)
|
88% |
4273
342.5 IPS |
|
|
Face Detection (SP)
|
100% |
4949
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
4918
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
10141
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4468
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4666
35.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11610
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9091
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9299
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33772
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2040
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7070
261.8 IPS |
|
|
Text Classification (SP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2001
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
3651
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2986
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2948
50.8 IPS |
