PC-8365u [Win11] Dell Inc. Latitude 5300
Geekbench AI Score
946
Single Precision Score
1108
Half Precision Score
759
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Tungsten |
| Upload Date | March 29 2026 02:25 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 620 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Latitude 5300 |
| Motherboard | Dell Inc. 0932VT |
| Power Plan | High performance |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
100% |
406
75.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
573
9.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
482
7.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
2268
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3607
4.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
2060
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
98% |
487
38.7 IPS |
|
|
Object Detection (Q)
|
86% |
438
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1081
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
783
9.33 IPS |
|
|
Depth Estimation (SP)
|
100% |
1707
13.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2121
16.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
1464
11.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5804
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
8724
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
4888
6.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1159
42.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
870
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.2 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.3 IPS |
|
|
Text Classification (Q)
|
97% |
273
365.1 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (HP)
|
100% |
482
8.30 IPS |
|
|
Machine Translation (Q)
|
70% |
271
5.08 IPS |
