Dell Inc. XPS 13 9345
Geekbench AI Score
1584
Single Precision Score
16475
Half Precision Score
33430
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | vincent_wjw |
| Upload Date | July 01 2025 12:38 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 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9345 |
| Motherboard | Dell Inc. |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
10764
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
17966
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8293
134.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
21335
346.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6173
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
71546
83.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
241329
282.9 IPS |
|
|
Object Detection (SP)
|
100% |
868
68.9 IPS |
|
|
Object Detection (HP)
|
100% |
11607
920.6 IPS |
|
|
Object Detection (Q)
|
92% |
21558
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
24723
293.8 IPS |
|
|
Face Detection (Q)
|
97% |
63453
756.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2228
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40901
315.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
101303
808.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5720
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
54123
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
251218
323.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
553
20.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29518
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64050
2.37 KIPS |
|
|
Text Classification (SP)
|
100% |
1343
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (Q)
|
95% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4721
81.3 IPS |
|
|
Machine Translation (Q)
|
67% |
8834
171.9 IPS |
