Dell Inc. Latitude 7455 - ONNX/QNN - Run 3 Dell Inc. Latitude 7455
Geekbench AI Score
2138
Single Precision Score
14510
Half Precision Score
24488
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 11:21 AM |
| Views | 12 |
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% |
714
132.7 IPS |
|
|
Image Classification (HP)
|
100% |
9936
1.85 KIPS |
|
|
Image Classification (Q)
|
99% |
14478
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7410
120.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9177
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6788
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
67795
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
230210
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
918
72.8 IPS |
|
|
Object Detection (HP)
|
100% |
9453
749.8 IPS |
|
|
Object Detection (Q)
|
92% |
11412
910.9 IPS |
|
|
Face Detection (SP)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
20777
246.9 IPS |
|
|
Face Detection (Q)
|
97% |
43676
520.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2625
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
39877
307.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
100912
809.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17071
21.9 IPS |
|
|
Style Transfer (HP)
|
98% |
56570
72.9 IPS |
|
|
Style Transfer (Q)
|
98% |
205618
265.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2448
90.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28112
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38674
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (Q)
|
95% |
3307
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2133
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2959
51.0 IPS |
|
|
Machine Translation (Q)
|
67% |
1917
37.3 IPS |
