Micro-Star International Co., Ltd. GF63 Thin 11UC
Geekbench AI Score
2628
Single Precision Score
1217
Half Precision Score
4255
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jfreshh330 |
| Upload Date | February 04 2025 08:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GF63 Thin 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-16R6 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1905
354.2 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.7 IPS |
|
|
Image Classification (Q)
|
99% |
4985
929.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1879
30.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4498
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3431
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
15204
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2184
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
586
46.5 IPS |
|
|
Object Detection (Q)
|
86% |
4021
323.2 IPS |
|
|
Face Detection (SP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
97% |
6886
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5205
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1744
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11451
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10458
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8256
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16008
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1970
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1658
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3206
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
1454
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
721
961.9 IPS |
|
|
Text Classification (Q)
|
97% |
456
610.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1570
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1842
37.0 IPS |
