Dell Inc. Latitude 5455
Geekbench AI Score
1604
Single Precision Score
15293
Half Precision Score
37584
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | cwebb15 |
| Upload Date | April 05 2026 11:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5455 |
| Motherboard | Dell Inc. 0H02CK |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
592
110.2 IPS |
|
|
Image Classification (HP)
|
100% |
9514
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
16796
3.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8123
131.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21587
351.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3852
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
70647
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
244231
286.3 IPS |
|
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
9960
790.1 IPS |
|
|
Object Detection (Q)
|
92% |
19574
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
1627
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
22651
269.1 IPS |
|
|
Face Detection (Q)
|
97% |
65176
777.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2014
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
41104
316.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
100674
803.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13496
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
53284
68.5 IPS |
|
|
Style Transfer (Q)
|
98% |
241504
311.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26884
992.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
61761
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
95% |
3717
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1439
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (Q)
|
67% |
8921
173.6 IPS |
