Dell Inc. XPS 13 9310
Geekbench AI Score
1835
Single Precision Score
924
Half Precision Score
4246
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. XPS 13 9310 |
| Motherboard | Dell Inc. 0GG9PT |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
99% |
3642
679.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
3851
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2417
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
9224
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
86% |
3310
266.1 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
5546
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3491
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1351
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8005
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5982
7.69 IPS |
|
|
Style Transfer (HP)
|
100% |
4930
6.34 IPS |
|
|
Style Transfer (Q)
|
98% |
12828
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3667
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
1120
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
604
806.6 IPS |
|
|
Text Classification (Q)
|
97% |
1127
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (Q)
|
65% |
1893
38.0 IPS |
