Dell Inc. Inspiron 16 7640 2-in-1
Geekbench AI Score
1583
Single Precision Score
738
Half Precision Score
3478
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 02:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 16 7640 2-in-1 |
| Motherboard | Dell Inc. 038PR7 |
| Power Plan | Balanced |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1057
196.5 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.4 IPS |
|
|
Image Classification (Q)
|
99% |
4394
819.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
2945
47.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2727
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2163
2.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
7916
9.28 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
86% |
2737
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
3399
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
97% |
4769
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3158
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1311
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8219
65.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7133
9.17 IPS |
|
|
Style Transfer (HP)
|
100% |
5112
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9891
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
790
29.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2606
96.5 IPS |
|
|
Text Classification (SP)
|
100% |
578
770.9 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.1 IPS |
|
|
Text Classification (Q)
|
97% |
549
735.0 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (Q)
|
65% |
1670
33.6 IPS |
