Dell Inc. Latitude 7455 - ONNX/CPU - Run 1 Dell Inc. Latitude 7455
Geekbench AI Score
2076
Single Precision Score
3352
Half Precision Score
6469
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 10:27 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
3176
590.7 IPS |
|
|
Image Classification (Q)
|
99% |
6776
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
820
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3339
54.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2256
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6834
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
10008
11.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
24524
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
882
70.0 IPS |
|
|
Object Detection (HP)
|
99% |
2551
202.9 IPS |
|
|
Object Detection (Q)
|
86% |
6988
561.6 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
7229
85.9 IPS |
|
|
Face Detection (Q)
|
97% |
11338
135.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2557
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4073
31.5 IPS |
|
|
Depth Estimation (Q)
|
79% |
12325
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15229
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11538
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35843
46.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2244
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3426
126.9 IPS |
|
|
Text Classification (SP)
|
100% |
1297
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
581
774.9 IPS |
|
|
Text Classification (Q)
|
97% |
1015
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
99% |
2432
42.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2817
56.6 IPS |
