Dell Inc. Inspiron 13 5330
Geekbench AI Score
2571
Single Precision Score
8820
Half Precision Score
13645
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 01:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Inspiron 13 5330 |
| Motherboard | Dell Inc. 0VG7MN |
| 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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
6168
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8640
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3116
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3501
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
30537
35.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
66163
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
100% |
5356
424.8 IPS |
|
|
Object Detection (Q)
|
88% |
9037
724.5 IPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
15409
183.1 IPS |
|
|
Face Detection (Q)
|
100% |
28462
338.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3928
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16775
129.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
30898
240.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10096
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48806
62.7 IPS |
|
|
Style Transfer (Q)
|
98% |
87170
112.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1897
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14178
523.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27091
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1810
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3698
63.7 IPS |
