Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
1619
Single Precision Score
2400
Half Precision Score
2287
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | December 29 2025 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. GE75 Raider 9SG |
| Motherboard | Micro-Star International Co., Ltd. MS-17E2 |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
999
185.8 IPS |
|
|
Image Classification (HP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (Q)
|
100% |
1460
271.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2023
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2354
2.75 IPS |
|
|
Pose Estimation (HP)
|
99% |
2212
2.59 IPS |
|
|
Pose Estimation (Q)
|
97% |
3456
4.05 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.1 IPS |
|
|
Object Detection (HP)
|
99% |
1583
125.9 IPS |
|
|
Object Detection (Q)
|
88% |
1474
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (Q)
|
97% |
4363
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2784
21.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4837
37.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
4457
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6744
8.67 IPS |
|
|
Style Transfer (HP)
|
100% |
9026
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
8218
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1182
43.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2015
74.6 IPS |
|
|
Text Classification (SP)
|
71% |
687
994.2 IPS |
|
|
Text Classification (HP)
|
71% |
864
1.25 KIPS |
|
|
Text Classification (Q)
|
92% |
612
821.7 IPS |
|
|
Machine Translation (SP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1349
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1323
22.9 IPS |
