Dell Inc. Inspiron 16 Plus 7640
Geekbench AI Score
3043
Single Precision Score
1182
Half Precision Score
5734
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | angelolins |
| Upload Date | October 27 2025 03:47 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Dell Inc. Inspiron 16 Plus 7640 |
| Motherboard | Dell Inc. 0WW3H8 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2443
454.3 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.3 IPS |
|
|
Image Classification (Q)
|
99% |
4864
907.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6605
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4909
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3321
3.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
17298
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2234
177.2 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (Q)
|
86% |
5134
412.6 IPS |
|
|
Face Detection (SP)
|
100% |
6545
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
1138
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
6972
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6097
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1559
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12013
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11880
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8322
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
18099
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2043
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
1207
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
645
860.6 IPS |
|
|
Text Classification (Q)
|
97% |
1130
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2155
43.3 IPS |
