Micro-Star International Co., Ltd. GF63 Thin 10SC
Geekbench AI Score
2406
Single Precision Score
2411
Half Precision Score
3667
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 09:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-10300H CPU @ 2.50GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GF63 Thin 10SC |
| Motherboard | Micro-Star International Co., Ltd. MS-16R5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10300H |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1573
292.4 IPS |
|
|
Image Classification (HP)
|
100% |
1540
286.4 IPS |
|
|
Image Classification (Q)
|
100% |
2609
485.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2719
44.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2838
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2847
3.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
5479
6.43 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
100% |
1435
113.8 IPS |
|
|
Object Detection (Q)
|
87% |
2460
197.3 IPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2843
33.8 IPS |
|
|
Face Detection (Q)
|
97% |
6499
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3700
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3762
29.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
6296
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8037
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8166
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15958
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3350
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
1951
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1906
2.54 KIPS |
|
|
Text Classification (Q)
|
91% |
816
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2543
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2575
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2577
44.4 IPS |
