Dell Inc. Latitude 7455
Geekbench AI Score
2093
Single Precision Score
11058
Half Precision Score
21343
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | TechnoCat |
| Upload Date | November 12 2024 07:28 PM |
| Views | 16 |
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% |
729
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
10415
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
17210
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7486
121.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9065
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
69105
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
237295
278.1 IPS |
|
|
Object Detection (SP)
|
100% |
897
71.2 IPS |
|
|
Object Detection (HP)
|
100% |
10676
846.8 IPS |
|
|
Object Detection (Q)
|
82% |
15762
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
22622
268.8 IPS |
|
|
Face Detection (Q)
|
97% |
44640
532.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2582
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
41271
318.0 IPS |
|
|
Depth Estimation (Q)
|
74% |
81027
658.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14706
18.9 IPS |
|
|
Style Transfer (HP)
|
23% |
2772
95.4 IPS |
|
|
Style Transfer (Q)
|
98% |
179802
231.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30852
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41012
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (Q)
|
95% |
3334
4.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2797
48.2 IPS |
|
|
Machine Translation (Q)
|
37% |
378
36.8 IPS |
