Dell Inc. XPS 13 9345
Geekbench AI Score
2185
Single Precision Score
10328
Half Precision Score
19257
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | jevangelho |
| Upload Date | September 17 2024 12:33 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 Home (64-bit) |
| Model | Dell Inc. XPS 13 9345 |
| Motherboard | Dell Inc. 0WMNVV |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
747
139.0 IPS |
|
|
Image Classification (HP)
|
100% |
9364
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
13652
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7435
120.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8976
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6851
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
68937
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230374
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (HP)
|
100% |
9712
770.3 IPS |
|
|
Object Detection (Q)
|
82% |
12126
981.6 IPS |
|
|
Face Detection (SP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
21838
259.5 IPS |
|
|
Face Detection (Q)
|
97% |
42169
502.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2583
19.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40841
314.7 IPS |
|
|
Depth Estimation (Q)
|
74% |
76429
621.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15933
20.5 IPS |
|
|
Style Transfer (HP)
|
23% |
2720
93.6 IPS |
|
|
Style Transfer (Q)
|
98% |
174984
225.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2352
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27190
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38961
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (Q)
|
95% |
2562
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (Q)
|
37% |
364
35.5 IPS |
