Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
1738
Single Precision Score
2506
Half Precision Score
2385
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | January 04 2026 08:19 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% |
1052
195.7 IPS |
|
|
Image Classification (HP)
|
100% |
1622
301.7 IPS |
|
|
Image Classification (Q)
|
100% |
1486
276.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2134
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2672
3.12 IPS |
|
|
Pose Estimation (HP)
|
99% |
2450
2.87 IPS |
|
|
Pose Estimation (Q)
|
97% |
3666
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.3 IPS |
|
|
Object Detection (HP)
|
99% |
1652
131.4 IPS |
|
|
Object Detection (Q)
|
88% |
1556
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5125
60.9 IPS |
|
|
Face Detection (Q)
|
97% |
4602
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3120
24.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5261
40.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4818
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7563
9.72 IPS |
|
|
Style Transfer (HP)
|
100% |
9507
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8716
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2255
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2157
79.9 IPS |
|
|
Text Classification (SP)
|
71% |
682
986.0 IPS |
|
|
Text Classification (HP)
|
71% |
860
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
619
831.5 IPS |
|
|
Machine Translation (SP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1315
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1276
22.0 IPS |
