Micro-Star International Co., Ltd. GF75 Thin 10SC
Geekbench AI Score
2960
Single Precision Score
2854
Half Precision Score
4286
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 11:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. GF75 Thin 10SC |
| Motherboard | Micro-Star International Co., Ltd. MS-17F6 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2043
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
2123
394.7 IPS |
|
|
Image Classification (Q)
|
100% |
3246
603.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2216
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3895
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3946
4.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3575
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
7349
8.62 IPS |
|
|
Object Detection (SP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
1981
157.1 IPS |
|
|
Object Detection (Q)
|
87% |
3154
252.9 IPS |
|
|
Face Detection (SP)
|
100% |
3981
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
3976
47.2 IPS |
|
|
Face Detection (Q)
|
97% |
8650
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5216
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4974
38.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
8720
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11286
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11550
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22686
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2234
82.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4241
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (Q)
|
91% |
565
760.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1742
30.0 IPS |
