Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
1741
Single Precision Score
2513
Half Precision Score
2383
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | January 04 2026 08:24 PM |
| Views | 4 |
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% |
1057
196.6 IPS |
|
|
Image Classification (HP)
|
100% |
1627
302.5 IPS |
|
|
Image Classification (Q)
|
100% |
1478
274.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2121
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2677
3.12 IPS |
|
|
Pose Estimation (HP)
|
99% |
2455
2.87 IPS |
|
|
Pose Estimation (Q)
|
97% |
3668
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.0 IPS |
|
|
Object Detection (HP)
|
99% |
1677
133.4 IPS |
|
|
Object Detection (Q)
|
88% |
1575
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
5133
61.0 IPS |
|
|
Face Detection (Q)
|
97% |
4612
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3109
24.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5278
40.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
4841
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7598
9.77 IPS |
|
|
Style Transfer (HP)
|
100% |
9480
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8707
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2142
79.3 IPS |
|
|
Text Classification (SP)
|
71% |
685
991.0 IPS |
|
|
Text Classification (HP)
|
71% |
860
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
602
808.1 IPS |
|
|
Machine Translation (SP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1317
22.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1301
22.5 IPS |
