Micro-Star International Co., Ltd. GF63 Thin 11SC
Geekbench AI Score
2367
Single Precision Score
1167
Half Precision Score
5276
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | okfalah |
| Upload Date | December 03 2025 08:32 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. GF63 Thin 11SC |
| Motherboard | Micro-Star International Co., Ltd. MS-16R6 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2028
377.2 IPS |
|
|
Image Classification (HP)
|
100% |
400
74.3 IPS |
|
|
Image Classification (Q)
|
99% |
5326
993.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5886
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4141
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
3331
3.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
15092
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (Q)
|
86% |
4594
369.2 IPS |
|
|
Face Detection (SP)
|
100% |
2244
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
996
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
6243
74.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5340
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1612
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10297
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9233
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7937
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9870
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1705
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5090
188.5 IPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1276
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1868
37.5 IPS |
