Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
2337
Single Precision Score
2411
Half Precision Score
3492
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | January 04 2026 08:13 PM |
| Views | 9 |
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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.0 IPS |
|
|
Image Classification (Q)
|
100% |
2245
417.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2833
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2734
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
5212
6.11 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (Q)
|
87% |
2501
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
3213
38.2 IPS |
|
|
Face Detection (Q)
|
97% |
6759
80.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3616
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3432
26.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
5937
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8573
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8669
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14905
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3576
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
1693
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (Q)
|
91% |
673
904.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2105
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2264
39.0 IPS |
