Dell Inc. XPS 13 9350
Geekbench AI Score
2319
Single Precision Score
797
Half Precision Score
4194
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 01:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. 0XPT8R |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1916
356.3 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.3 IPS |
|
|
Image Classification (Q)
|
99% |
3961
738.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3659
4.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2706
3.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
13356
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2057
163.2 IPS |
|
|
Object Detection (HP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (Q)
|
86% |
4537
364.7 IPS |
|
|
Face Detection (SP)
|
100% |
5949
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
1102
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
7016
83.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4105
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1301
10.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
8680
69.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7880
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6432
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
15273
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1188
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
444
592.0 IPS |
|
|
Text Classification (Q)
|
97% |
1186
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1761
35.4 IPS |
