Dell Inc. XPS 13 9310
Geekbench AI Score
1569
Single Precision Score
828
Half Precision Score
3872
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | thealamo427 |
| Upload Date | February 25 2026 04:15 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1195G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9310 |
| Motherboard | Dell Inc. 0782YH |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1195G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
99% |
3175
592.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
486
7.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
3080
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2186
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
8488
9.95 IPS |
|
|
Object Detection (SP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
86% |
2473
198.8 IPS |
|
|
Face Detection (SP)
|
100% |
2488
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
845
10.0 IPS |
|
|
Face Detection (Q)
|
97% |
5483
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2767
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1066
8.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
7231
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4845
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3981
5.12 IPS |
|
|
Style Transfer (Q)
|
98% |
11663
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1034
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3486
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
628
838.7 IPS |
|
|
Text Classification (Q)
|
97% |
1195
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.93 IPS |
|
|
Machine Translation (Q)
|
65% |
1919
38.6 IPS |
