Micro-Star International Co., Ltd. GF75 Thin 10SC
Geekbench AI Score
6547
Single Precision Score
5093
Half Precision Score
4928
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 11 2025 11:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2728
507.3 IPS |
|
|
Image Classification (HP)
|
100% |
2481
461.3 IPS |
|
|
Image Classification (Q)
|
99% |
2367
441.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4479
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3573
57.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3853
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24556
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15962
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21926
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
3218
255.3 IPS |
|
|
Object Detection (HP)
|
100% |
3005
238.4 IPS |
|
|
Object Detection (Q)
|
83% |
2766
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
7586
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
6077
72.2 IPS |
|
|
Face Detection (Q)
|
97% |
6618
78.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15220
117.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
11488
88.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11769
93.9 IPS |
|
|
Style Transfer (SP)
|
100% |
45444
58.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31002
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
39471
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9319
344.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6489
240.3 IPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2094
36.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1000
18.7 IPS |
