Dell Inc. Dell G15 5511
Geekbench AI Score
2013
Single Precision Score
1038
Half Precision Score
3750
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | Dell Inc. Dell G15 5511 |
| Motherboard | Dell Inc. 0JF5JC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1654
307.7 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
99% |
4446
829.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
697
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
552
8.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1757
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3170
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2624
3.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
13228
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.2 IPS |
|
|
Object Detection (HP)
|
100% |
471
37.4 IPS |
|
|
Object Detection (Q)
|
86% |
3505
281.7 IPS |
|
|
Face Detection (SP)
|
100% |
2256
26.8 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
6030
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4191
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1453
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9314
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8217
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7621
9.80 IPS |
|
|
Style Transfer (Q)
|
98% |
12064
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1512
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2991
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
1327
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.3 IPS |
|
|
Text Classification (Q)
|
97% |
483
646.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1257
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
65% |
1554
31.2 IPS |
