Micro-Star International Co., Ltd. GL65 Leopard 10SEK
Geekbench AI Score
1091
Single Precision Score
554
Half Precision Score
1277
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 06:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. GL65 Leopard 10SEK |
| Motherboard | Micro-Star International Co., Ltd. MS-16U7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
621
115.4 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.4 IPS |
|
|
Image Classification (Q)
|
96% |
1058
197.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
339
5.50 IPS |
|
|
Image Segmentation (Q)
|
97% |
783
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1858
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1492
1.74 IPS |
|
|
Pose Estimation (Q)
|
87% |
3794
4.48 IPS |
|
|
Object Detection (SP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
729
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (Q)
|
96% |
1759
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2154
16.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
811
6.25 IPS |
|
|
Depth Estimation (Q)
|
77% |
2176
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4701
6.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3526
4.53 IPS |
|
|
Style Transfer (Q)
|
87% |
6609
8.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
707
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1180
43.7 IPS |
|
|
Text Classification (SP)
|
100% |
679
906.1 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.9 IPS |
|
|
Text Classification (Q)
|
97% |
211
283.1 IPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
60% |
803
17.9 IPS |
