Micro-Star International Co., Ltd. GL75 9SD
Geekbench AI Score
1585
Single Precision Score
2425
Half Precision Score
2334
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | October 15 2025 07:00 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. GL75 9SD |
| Motherboard | Micro-Star International Co., Ltd. MS-17E5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1039
193.1 IPS |
|
|
Image Classification (HP)
|
100% |
1644
305.7 IPS |
|
|
Image Classification (Q)
|
100% |
1503
279.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2219
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2048
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2300
2.68 IPS |
|
|
Pose Estimation (HP)
|
99% |
2145
2.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
3359
3.93 IPS |
|
|
Object Detection (SP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (HP)
|
99% |
1575
125.3 IPS |
|
|
Object Detection (Q)
|
88% |
1486
119.2 IPS |
|
|
Face Detection (SP)
|
100% |
2910
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4948
58.8 IPS |
|
|
Face Detection (Q)
|
97% |
4361
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2773
21.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4867
37.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
4498
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6484
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
9314
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8570
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2120
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2038
75.5 IPS |
|
|
Text Classification (SP)
|
71% |
736
1.06 KIPS |
|
|
Text Classification (HP)
|
71% |
864
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
661
887.9 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1389
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1380
23.9 IPS |
