Micro-Star International Co., Ltd. MS-7D82
Geekbench AI Score
1406
Single Precision Score
778
Half Precision Score
2046
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 08 2025 08:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10400F |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D82 |
| Motherboard | Micro-Star International Co., Ltd. PRO H410M-B (MS-7D82) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1069
198.7 IPS |
|
|
Image Classification (HP)
|
100% |
277
51.6 IPS |
|
|
Image Classification (Q)
|
96% |
2029
378.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
483
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2337
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
2158
2.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
5985
7.08 IPS |
|
|
Object Detection (SP)
|
100% |
1051
83.3 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (Q)
|
58% |
1482
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
1229
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (Q)
|
96% |
3331
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2923
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1184
9.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
4839
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5862
7.54 IPS |
|
|
Style Transfer (HP)
|
100% |
5204
6.69 IPS |
|
|
Style Transfer (Q)
|
87% |
5730
7.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1730
64.1 IPS |
|
|
Text Classification (SP)
|
100% |
1139
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
565
753.6 IPS |
|
|
Text Classification (Q)
|
97% |
369
494.0 IPS |
|
|
Machine Translation (SP)
|
100% |
868
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1055
20.4 IPS |
