Dell Inc. Latitude 7455 - ONNX/QNN - Run 2 Dell Inc. Latitude 7455
Geekbench AI Score
2135
Single Precision Score
14513
Half Precision Score
24815
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 10:48 AM |
| Views | 16 |
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% |
738
137.2 IPS |
|
|
Image Classification (HP)
|
100% |
9975
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
14341
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7276
118.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9116
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6756
7.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
68307
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
227431
266.6 IPS |
|
|
Object Detection (SP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (HP)
|
100% |
9318
739.1 IPS |
|
|
Object Detection (Q)
|
92% |
11846
945.6 IPS |
|
|
Face Detection (SP)
|
100% |
1940
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
20828
247.5 IPS |
|
|
Face Detection (Q)
|
97% |
42975
512.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2600
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
39729
306.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
92471
741.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16470
21.2 IPS |
|
|
Style Transfer (HP)
|
98% |
57188
73.7 IPS |
|
|
Style Transfer (Q)
|
98% |
207133
267.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28831
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41033
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (Q)
|
95% |
3577
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2888
49.7 IPS |
|
|
Machine Translation (Q)
|
67% |
2081
40.5 IPS |
