Dell Inc. Latitude 7455 - ONNX/QNN - Run 1 Dell Inc. Latitude 7455
Geekbench AI Score
2222
Single Precision Score
14454
Half Precision Score
25061
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 10:45 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Dell Inc. Latitude 7455 |
| Motherboard | Dell Inc. 032Y94 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E80100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.5 IPS |
|
|
Image Classification (HP)
|
100% |
9026
1.68 KIPS |
|
|
Image Classification (Q)
|
99% |
16936
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
842
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7308
118.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9177
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6863
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67789
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
226367
265.3 IPS |
|
|
Object Detection (SP)
|
100% |
929
73.7 IPS |
|
|
Object Detection (HP)
|
100% |
9605
761.9 IPS |
|
|
Object Detection (Q)
|
92% |
11792
941.3 IPS |
|
|
Face Detection (SP)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
21270
252.7 IPS |
|
|
Face Detection (Q)
|
97% |
42009
500.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2653
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
39209
302.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
95599
767.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (HP)
|
98% |
55806
72.0 IPS |
|
|
Style Transfer (Q)
|
98% |
212359
273.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29288
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40059
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
1574
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (Q)
|
95% |
3248
4.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2191
37.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3006
51.8 IPS |
|
|
Machine Translation (Q)
|
67% |
2123
41.3 IPS |
