Micro-Star International Co., Ltd. GE75 Raider 8SE
Geekbench AI Score
1621
Single Precision Score
462
Half Precision Score
2018
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vamiri5 |
| Upload Date | August 17 2024 08:56 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GE75 Raider 8SE |
| Motherboard | Micro-Star International Co., Ltd. MS-17E2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (Q)
|
97% |
1712
319.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
1269
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2433
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1885
2.20 IPS |
|
|
Pose Estimation (Q)
|
87% |
5006
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (Q)
|
86% |
1088
87.5 IPS |
|
|
Face Detection (SP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
197
2.34 IPS |
|
|
Face Detection (Q)
|
96% |
2765
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2928
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
612
4.71 IPS |
|
|
Depth Estimation (Q)
|
76% |
3648
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6132
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4512
5.80 IPS |
|
|
Style Transfer (Q)
|
87% |
9730
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1239
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1976
73.2 IPS |
|
|
Text Classification (SP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.4 IPS |
|
|
Text Classification (Q)
|
97% |
367
492.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.98 IPS |
|
|
Machine Translation (Q)
|
60% |
1335
29.8 IPS |
