Dell Inc. XPS 13 9350
Geekbench AI Score
2448
Single Precision Score
23606
Half Precision Score
34690
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1778
330.6 IPS |
|
|
Image Classification (HP)
|
100% |
13003
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
19411
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1815
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15099
244.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20415
330.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
105096
122.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
206964
242.4 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.8 IPS |
|
|
Object Detection (HP)
|
100% |
16622
1.32 KIPS |
|
|
Object Detection (Q)
|
87% |
23577
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
29217
347.2 IPS |
|
|
Face Detection (Q)
|
100% |
59454
706.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3526
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71018
547.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
110254
858.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6963
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
210007
270.0 IPS |
|
|
Style Transfer (Q)
|
98% |
314803
405.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35059
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62571
2.32 KIPS |
|
|
Text Classification (SP)
|
100% |
1830
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
2668
3.56 KIPS |
|
|
Text Classification (Q)
|
92% |
2658
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3804
65.5 IPS |
