Micro-Star International Co., Ltd. GS66 Stealth 11UH
Geekbench AI Score
5167
Single Precision Score
5258
Half Precision Score
13112
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | toothpaste |
| Upload Date | November 27 2024 09:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. GS66 Stealth 11UH |
| Motherboard | Micro-Star International Co., Ltd. MS-16V4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores |
| 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% |
3494
649.9 IPS |
|
|
Image Classification (HP)
|
100% |
3586
666.8 IPS |
|
|
Image Classification (Q)
|
100% |
8393
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3489
56.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3633
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7089
114.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6012
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
24989
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
3049
241.9 IPS |
|
|
Object Detection (HP)
|
100% |
3157
250.4 IPS |
|
|
Object Detection (Q)
|
88% |
9240
740.7 IPS |
|
|
Face Detection (SP)
|
100% |
7348
87.3 IPS |
|
|
Face Detection (HP)
|
100% |
7297
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
23114
274.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8164
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8287
63.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
24773
192.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17502
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17723
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
68710
88.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3945
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13689
506.9 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
3335
4.45 KIPS |
|
|
Text Classification (Q)
|
92% |
4653
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4327
74.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4366
75.2 IPS |
