Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
2543
Single Precision Score
2564
Half Precision Score
3614
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | December 29 2025 03:27 PM |
| Views | 4 |
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% |
1550
288.2 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.6 IPS |
|
|
Image Classification (Q)
|
100% |
2553
474.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3060
49.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2784
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
2857
3.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
5490
6.44 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
1681
133.3 IPS |
|
|
Object Detection (Q)
|
87% |
2471
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
3610
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (Q)
|
97% |
6551
78.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3701
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3786
29.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
6456
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8807
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9053
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15869
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3295
122.1 IPS |
|
|
Text Classification (SP)
|
100% |
1769
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (Q)
|
91% |
671
902.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2406
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2418
41.6 IPS |
