Dell Inc. XPS 13 9350
Geekbench AI Score
2093
Single Precision Score
2100
Half Precision Score
1517
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | December 21 2025 05:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. 0MMW13 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1481
275.3 IPS |
|
|
Image Classification (HP)
|
100% |
1485
276.2 IPS |
|
|
Image Classification (Q)
|
99% |
1048
195.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2072
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1156
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2595
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2523
2.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
2826
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
100% |
1440
114.2 IPS |
|
|
Object Detection (Q)
|
85% |
1122
90.3 IPS |
|
|
Face Detection (SP)
|
100% |
2910
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
2374
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2601
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2602
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1975
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3926
5.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3923
5.04 IPS |
|
|
Style Transfer (Q)
|
98% |
5609
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1572
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1453
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
1280
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (Q)
|
92% |
665
893.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (Q)
|
58% |
662
15.5 IPS |
