Dell Inc. Latitude 7455 - ONNX/QNN - Run 4 Dell Inc. Latitude 7455
Geekbench AI Score
2090
Single Precision Score
14238
Half Precision Score
24817
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 11:30 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% |
715
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
8652
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
16278
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
675
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7363
119.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9107
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6697
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
67995
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
226002
264.9 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
100% |
9661
766.3 IPS |
|
|
Object Detection (Q)
|
92% |
11898
949.7 IPS |
|
|
Face Detection (SP)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
20528
243.9 IPS |
|
|
Face Detection (Q)
|
97% |
43842
522.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2588
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40092
308.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
100359
805.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16806
21.6 IPS |
|
|
Style Transfer (HP)
|
98% |
57141
73.7 IPS |
|
|
Style Transfer (Q)
|
98% |
207015
266.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2409
88.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27310
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39189
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
1544
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (Q)
|
95% |
3303
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1727
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2770
47.7 IPS |
|
|
Machine Translation (Q)
|
67% |
1886
36.7 IPS |
