Dell Inc. Latitude 7455
Geekbench AI Score
2110
Single Precision Score
11048
Half Precision Score
21875
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | TechnoCat |
| Upload Date | November 12 2024 07:31 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7455 |
| Motherboard | Dell Inc. 0NG0W1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
723
134.4 IPS |
|
|
Image Classification (HP)
|
100% |
11001
2.05 KIPS |
|
|
Image Classification (Q)
|
99% |
17355
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7507
121.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9120
148.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5963
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
70307
82.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
237994
279.0 IPS |
|
|
Object Detection (SP)
|
100% |
901
71.5 IPS |
|
|
Object Detection (HP)
|
100% |
10640
844.0 IPS |
|
|
Object Detection (Q)
|
82% |
15455
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
22534
267.8 IPS |
|
|
Face Detection (Q)
|
97% |
44885
535.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2575
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
41388
318.9 IPS |
|
|
Depth Estimation (Q)
|
74% |
84146
683.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14715
18.9 IPS |
|
|
Style Transfer (HP)
|
23% |
2762
95.1 IPS |
|
|
Style Transfer (Q)
|
98% |
184597
238.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2242
82.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29057
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44287
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
1547
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (Q)
|
95% |
3589
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2180
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2808
48.4 IPS |
|
|
Machine Translation (Q)
|
37% |
389
37.9 IPS |
