Micro-Star International Co., Ltd. GE76 Raider 11UH
Geekbench AI Score
3069
Single Precision Score
1386
Half Precision Score
3867
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11980HK |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GE76 Raider 11UH |
| Motherboard | Micro-Star International Co., Ltd. MS-17K3 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1922
357.4 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.5 IPS |
|
|
Image Classification (Q)
|
99% |
3823
713.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2425
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5843
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4481
5.23 IPS |
|
|
Pose Estimation (Q)
|
95% |
19560
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (HP)
|
100% |
598
47.4 IPS |
|
|
Object Detection (Q)
|
88% |
2113
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
2499
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
1335
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
3955
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6767
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7250
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13421
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10707
13.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18073
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2678
98.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2171
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3924
145.3 IPS |
|
|
Text Classification (SP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
695
927.6 IPS |
|
|
Text Classification (Q)
|
97% |
467
625.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2059
45.9 IPS |
