Micro-Star International Co., Ltd. GE75 Raider 9SE
Geekbench AI Score
544
Single Precision Score
281
Half Precision Score
717
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SweetikCZ |
| Upload Date | April 20 2025 07:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GE75 Raider 9SE |
| Motherboard | Micro-Star International Co., Ltd. MS-17E2 |
| Power Plan | pikov vkon |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
311
57.9 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.5 IPS |
|
|
Image Classification (Q)
|
96% |
568
106.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
256
4.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
344
5.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
613
0.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
1534
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
58% |
435
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
341
4.05 IPS |
|
|
Face Detection (Q)
|
96% |
1332
15.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1002
7.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
427
3.29 IPS |
|
|
Depth Estimation (Q)
|
78% |
1588
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2016
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
1513
1.95 IPS |
|
|
Style Transfer (Q)
|
87% |
3066
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
323
11.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
578
21.4 IPS |
|
|
Text Classification (SP)
|
100% |
298
398.4 IPS |
|
|
Text Classification (HP)
|
100% |
166
222.1 IPS |
|
|
Text Classification (Q)
|
97% |
129
172.3 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
181
3.12 IPS |
|
|
Machine Translation (Q)
|
68% |
573
11.1 IPS |
