Micro-Star International Co., Ltd. MS-7D29
Geekbench AI Score
4725
Single Precision Score
2513
Half Precision Score
12313
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 22 2025 02:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i3-12100F |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D29 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690I UNIFY (MS-7D29) |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2849
529.9 IPS |
|
|
Image Classification (HP)
|
100% |
1017
189.1 IPS |
|
|
Image Classification (Q)
|
100% |
7856
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3386
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9086
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5194
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3632
4.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
20166
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
1191
94.5 IPS |
|
|
Object Detection (Q)
|
88% |
7861
630.2 IPS |
|
|
Face Detection (SP)
|
100% |
7981
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
2616
31.1 IPS |
|
|
Face Detection (Q)
|
100% |
20223
240.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7251
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3523
27.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
20840
162.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14266
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9497
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52747
68.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3204
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2237
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10880
402.9 IPS |
|
|
Text Classification (SP)
|
100% |
3137
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
6292
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4890
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4654
80.2 IPS |
