Dell XPS 13 9300 Dell Inc. XPS 13 9300
Geekbench AI Score
1535
Single Precision Score
774
Half Precision Score
3372
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | November 21 2025 10:09 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 13 9300 |
| Motherboard | Dell Inc. 0GRKMN |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1163
216.4 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.4 IPS |
|
|
Image Classification (Q)
|
99% |
2665
497.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
3130
50.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2085
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1750
2.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
7619
8.93 IPS |
|
|
Object Detection (SP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
86% |
2724
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
851
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4481
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2912
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1094
8.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
6048
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5480
7.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3944
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
10478
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
970
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2868
106.2 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.3 IPS |
|
|
Text Classification (Q)
|
97% |
856
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (Q)
|
65% |
1575
31.6 IPS |
