Dell Inc. XPS 13 9345
Geekbench AI Score
2203
Single Precision Score
10303
Half Precision Score
20053
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | jofrirobben |
| Upload Date | August 15 2024 07:42 PM |
| Views | 5 |
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. 0DXPNM |
| Power Plan | Gebalanceerd |
| 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% |
743
138.2 IPS |
|
|
Image Classification (HP)
|
100% |
10865
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
14468
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7436
120.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8927
145.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6790
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
69223
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
221917
260.1 IPS |
|
|
Object Detection (SP)
|
100% |
911
72.3 IPS |
|
|
Object Detection (HP)
|
100% |
9250
733.7 IPS |
|
|
Object Detection (Q)
|
82% |
15562
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
1887
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
20711
246.1 IPS |
|
|
Face Detection (Q)
|
97% |
46159
550.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2691
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
39662
305.6 IPS |
|
|
Depth Estimation (Q)
|
71% |
73604
612.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16795
21.6 IPS |
|
|
Style Transfer (HP)
|
23% |
2751
94.7 IPS |
|
|
Style Transfer (Q)
|
98% |
172477
222.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2446
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28820
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43339
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
1470
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1926
2.57 KIPS |
|
|
Text Classification (Q)
|
95% |
3191
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (Q)
|
37% |
291
28.3 IPS |
