Micro-Star International Co., Ltd. GP66 Leopard 11UG
Geekbench AI Score
2973
Single Precision Score
1256
Half Precision Score
6217
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 12:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. GP66 Leopard 11UG |
| Motherboard | Micro-Star International Co., Ltd. MS-1543 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2688
499.9 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
99% |
6202
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6605
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3407
3.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
14517
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2142
169.9 IPS |
|
|
Object Detection (HP)
|
100% |
596
47.3 IPS |
|
|
Object Detection (Q)
|
86% |
5802
466.3 IPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
7656
91.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6126
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1668
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11955
95.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10455
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7946
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15398
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1914
70.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
1656
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1348
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
1863
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2623
52.7 IPS |
