Micro-Star International Co., Ltd. GE76 Raider 11UE
Geekbench AI Score
2301
Single Precision Score
1072
Half Precision Score
4977
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 02:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. GE76 Raider 11UE |
| Motherboard | Micro-Star International Co., Ltd. MS-17K3 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1636
304.3 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
99% |
5295
987.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
605
9.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2397
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3381
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2879
3.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
14449
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
86% |
4895
393.4 IPS |
|
|
Face Detection (SP)
|
100% |
3497
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
1107
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
7120
84.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4583
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1526
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10817
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8259
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7050
9.06 IPS |
|
|
Style Transfer (Q)
|
98% |
14869
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2893
107.1 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
669
892.9 IPS |
|
|
Text Classification (Q)
|
97% |
1311
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
547
9.43 IPS |
|
|
Machine Translation (Q)
|
65% |
2393
48.1 IPS |
