Dell Inc. XPS 13 9345
Geekbench AI Score
1662
Single Precision Score
15702
Half Precision Score
38441
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | knedle |
| Upload Date | September 22 2025 10:03 AM |
| Views | 9 |
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. 05H2K4 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
603
112.2 IPS |
|
|
Image Classification (HP)
|
100% |
9986
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
17001
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8175
132.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
21808
354.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5658
6.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
70035
81.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
242597
284.4 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (HP)
|
100% |
10840
859.8 IPS |
|
|
Object Detection (Q)
|
92% |
20841
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
23219
275.9 IPS |
|
|
Face Detection (Q)
|
97% |
67606
806.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1871
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
41770
321.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
106090
846.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14345
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53470
68.7 IPS |
|
|
Style Transfer (Q)
|
98% |
252300
325.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2093
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28937
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60909
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (Q)
|
95% |
3786
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (Q)
|
67% |
9009
175.3 IPS |
