Dell Inc. Latitude 7455 - ONNX/CPU - Run 2 Dell Inc. Latitude 7455
Geekbench AI Score
2069
Single Precision Score
3262
Half Precision Score
6345
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 10:35 AM |
| Views | 13 |
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% |
736
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
3115
579.3 IPS |
|
|
Image Classification (Q)
|
99% |
6699
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3339
54.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2285
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6788
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
9598
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
24527
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
857
68.0 IPS |
|
|
Object Detection (HP)
|
99% |
2491
198.2 IPS |
|
|
Object Detection (Q)
|
86% |
6970
560.2 IPS |
|
|
Face Detection (SP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
6707
79.7 IPS |
|
|
Face Detection (Q)
|
97% |
11221
133.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2484
19.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3505
27.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
9312
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12524
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9344
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26771
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1933
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
657
877.4 IPS |
|
|
Text Classification (Q)
|
97% |
1193
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2267
39.0 IPS |
|
|
Machine Translation (HP)
|
99% |
2781
48.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3330
66.9 IPS |
