Dell Inc. XPS 13 9380
Geekbench AI Score
1775
Single Precision Score
1737
Half Precision Score
2600
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 08 2025 08:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8365U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. XPS 13 9380 |
| Motherboard | Dell Inc. 009V6F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8365U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.8 IPS |
|
|
Image Classification (Q)
|
100% |
2022
376.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1254
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1890
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1999
2.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
3735
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
1013
80.4 IPS |
|
|
Object Detection (HP)
|
100% |
1036
82.1 IPS |
|
|
Object Detection (Q)
|
87% |
1785
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
4913
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2439
18.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2376
18.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
3310
26.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4843
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4399
5.65 IPS |
|
|
Style Transfer (Q)
|
98% |
10479
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2667
98.8 IPS |
|
|
Text Classification (SP)
|
100% |
1574
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1549
2.07 KIPS |
|
|
Text Classification (Q)
|
91% |
737
990.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1839
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1658
28.6 IPS |
