Dell Inc. Inspiron 16 5640
Geekbench AI Score
3668
Single Precision Score
5121
Half Precision Score
8025
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 26 2025 02:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 16 5640 |
| Motherboard | Dell Inc. 08GJ1J |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1334U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2224
413.6 IPS |
|
|
Image Classification (HP)
|
100% |
3190
593.2 IPS |
|
|
Image Classification (Q)
|
99% |
4331
807.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3356
54.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5418
87.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6796
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7251
8.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
5336
6.23 IPS |
|
|
Pose Estimation (Q)
|
97% |
24346
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2112
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (Q)
|
90% |
5070
405.4 IPS |
|
|
Face Detection (SP)
|
100% |
6295
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
9738
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
12692
150.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7650
58.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12230
94.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16747
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18776
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27012
34.7 IPS |
|
|
Style Transfer (Q)
|
98% |
53467
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3049
112.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4605
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9798
362.9 IPS |
|
|
Text Classification (SP)
|
71% |
1122
1.62 KIPS |
|
|
Text Classification (HP)
|
71% |
1335
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
1289
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2132
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2127
36.8 IPS |
