Dell Inc. Dell G15 5511
Geekbench AI Score
2370
Single Precision Score
1149
Half Precision Score
5234
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 06:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11260H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell G15 5511 |
| Motherboard | Dell Inc. 0FNM0C |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11260H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.61 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1850
344.0 IPS |
|
|
Image Classification (HP)
|
100% |
404
75.2 IPS |
|
|
Image Classification (Q)
|
99% |
5389
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5871
95.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4302
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3534
4.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
15085
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.3 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.8 IPS |
|
|
Object Detection (Q)
|
86% |
4545
365.3 IPS |
|
|
Face Detection (SP)
|
100% |
2322
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
1006
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
6485
77.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5552
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1635
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10274
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9834
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8395
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9158
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1214
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1229
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
589
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1874
37.7 IPS |
