Micro-Star International Co., Ltd. GL75 9SD
Geekbench AI Score
1593
Single Precision Score
2447
Half Precision Score
2348
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | restuff |
| Upload Date | October 14 2025 06:59 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
1030
191.6 IPS |
|
|
Image Classification (HP)
|
100% |
1659
308.6 IPS |
|
|
Image Classification (Q)
|
100% |
1503
279.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2050
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2293
2.68 IPS |
|
|
Pose Estimation (HP)
|
99% |
2149
2.51 IPS |
|
|
Pose Estimation (Q)
|
97% |
3382
3.96 IPS |
|
|
Object Detection (SP)
|
100% |
922
73.1 IPS |
|
|
Object Detection (HP)
|
99% |
1592
126.7 IPS |
|
|
Object Detection (Q)
|
88% |
1493
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5059
60.1 IPS |
|
|
Face Detection (Q)
|
97% |
4474
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2802
21.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4980
38.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4521
35.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6538
8.40 IPS |
|
|
Style Transfer (HP)
|
100% |
9403
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8659
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1174
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2035
75.4 IPS |
|
|
Text Classification (SP)
|
71% |
742
1.07 KIPS |
|
|
Text Classification (HP)
|
71% |
864
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
657
882.3 IPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
99% |
1404
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1402
24.2 IPS |
