Micro-Star International Co., Ltd. GE76 Raider 11UH
Geekbench AI Score
17239
Single Precision Score
27211
Half Precision Score
11049
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 10:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
| 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% |
6637
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
9848
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
4661
866.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10641
172.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14913
241.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8582
139.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
102056
119.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
278972
325.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
83488
97.8 IPS |
|
|
Object Detection (SP)
|
100% |
8841
701.3 IPS |
|
|
Object Detection (HP)
|
100% |
13583
1.08 KIPS |
|
|
Object Detection (Q)
|
88% |
6037
484.1 IPS |
|
|
Face Detection (SP)
|
100% |
18661
221.7 IPS |
|
|
Face Detection (HP)
|
100% |
28148
334.5 IPS |
|
|
Face Detection (Q)
|
97% |
13804
164.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42509
327.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
76638
590.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
27832
224.2 IPS |
|
|
Style Transfer (SP)
|
100% |
170670
219.4 IPS |
|
|
Style Transfer (HP)
|
100% |
419567
539.4 IPS |
|
|
Style Transfer (Q)
|
98% |
132973
171.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30216
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38636
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17414
644.8 IPS |
|
|
Text Classification (SP)
|
100% |
2792
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3574
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1328
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1139
25.4 IPS |
