Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
1733
Single Precision Score
802
Half Precision Score
2319
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | January 04 2026 08:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| 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% |
1323
246.0 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.0 IPS |
|
|
Image Classification (Q)
|
96% |
2128
397.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
749
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.45 IPS |
|
|
Image Segmentation (Q)
|
97% |
1639
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2547
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (Q)
|
86% |
4897
5.79 IPS |
|
|
Object Detection (SP)
|
100% |
1193
94.6 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
58% |
1327
145.0 IPS |
|
|
Face Detection (SP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
814
9.68 IPS |
|
|
Face Detection (Q)
|
96% |
4163
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3159
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1059
8.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
4907
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6328
8.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4670
6.00 IPS |
|
|
Style Transfer (Q)
|
87% |
8779
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2274
84.2 IPS |
|
|
Text Classification (SP)
|
100% |
1015
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
502
670.4 IPS |
|
|
Text Classification (Q)
|
97% |
324
433.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.74 IPS |
|
|
Machine Translation (Q)
|
68% |
1503
29.0 IPS |
