Micro-Star International Co., Ltd. GF63 Thin 10SC
Geekbench AI Score
2287
Single Precision Score
2389
Half Precision Score
3634
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 09:18 AM |
| Views | 5 |
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, 8 Threads |
| 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% |
1488
276.7 IPS |
|
|
Image Classification (HP)
|
100% |
1501
279.2 IPS |
|
|
Image Classification (Q)
|
100% |
2545
473.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2735
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2846
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
2855
3.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
5409
6.34 IPS |
|
|
Object Detection (SP)
|
100% |
933
74.0 IPS |
|
|
Object Detection (HP)
|
100% |
1414
112.2 IPS |
|
|
Object Detection (Q)
|
87% |
2447
196.3 IPS |
|
|
Face Detection (SP)
|
100% |
2834
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
6448
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3723
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3707
28.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
6305
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8118
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8084
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15711
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3360
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1926
2.57 KIPS |
|
|
Text Classification (Q)
|
91% |
808
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2555
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2516
43.3 IPS |
