Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
2435
Single Precision Score
2452
Half Precision Score
3551
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | January 04 2026 08:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| 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% |
1573
292.6 IPS |
|
|
Image Classification (HP)
|
100% |
1555
289.2 IPS |
|
|
Image Classification (Q)
|
100% |
2303
428.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1613
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1714
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3046
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2769
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
2803
3.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
5512
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.2 IPS |
|
|
Object Detection (HP)
|
100% |
1420
112.7 IPS |
|
|
Object Detection (Q)
|
87% |
2465
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
3369
40.0 IPS |
|
|
Face Detection (Q)
|
97% |
6427
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3525
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3672
28.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
6407
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8260
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8300
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17266
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3210
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1755
2.34 KIPS |
|
|
Text Classification (Q)
|
91% |
681
915.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2175
37.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2156
37.1 IPS |
