Micro-Star International Co., Ltd. GE75 Raider 9SG
Geekbench AI Score
13652
Single Precision Score
22369
Half Precision Score
9455
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | December 29 2025 03:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| 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% |
5159
959.4 IPS |
|
|
Image Classification (HP)
|
100% |
8224
1.53 KIPS |
|
|
Image Classification (Q)
|
99% |
4217
786.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9912
160.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13085
212.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7996
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
69190
80.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
202566
236.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
58960
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
7177
569.3 IPS |
|
|
Object Detection (HP)
|
100% |
11193
887.8 IPS |
|
|
Object Detection (Q)
|
84% |
5518
445.1 IPS |
|
|
Face Detection (SP)
|
100% |
17151
203.8 IPS |
|
|
Face Detection (HP)
|
100% |
26903
319.7 IPS |
|
|
Face Detection (Q)
|
97% |
13720
163.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
35748
275.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
64418
496.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24720
198.0 IPS |
|
|
Style Transfer (SP)
|
100% |
131480
169.0 IPS |
|
|
Style Transfer (HP)
|
100% |
286874
368.8 IPS |
|
|
Style Transfer (Q)
|
98% |
101486
130.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22299
823.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33151
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13171
487.7 IPS |
|
|
Text Classification (SP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2557
3.41 KIPS |
|
|
Text Classification (Q)
|
97% |
899
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2947
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3051
52.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1278
24.0 IPS |
