Micro-Star International Co., Ltd. GF63 Thin 11UC
Geekbench AI Score
3821
Single Precision Score
3849
Half Precision Score
9901
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Jfreshh330 |
| Upload Date | February 04 2025 09:20 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11400H @ 2.70GHz |
| 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% |
2246
417.8 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.9 IPS |
|
|
Image Classification (Q)
|
100% |
6561
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6168
100.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5005
5.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
4926
5.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
19323
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2327
184.6 IPS |
|
|
Object Detection (HP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (Q)
|
88% |
6342
508.4 IPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
16333
194.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6463
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6503
50.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
17604
136.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13174
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13372
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49099
63.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2855
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2869
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9979
369.6 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
2465
3.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3960
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3283
56.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3273
56.4 IPS |
