Dell Inc. XPS 14 DA14260
Geekbench AI Score
19232
Single Precision Score
51883
Half Precision Score
65575
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | March 24 2026 10:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B390 GPU (iGPU) |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Dell Inc. XPS 14 DA14260 |
| Motherboard | Dell Inc. 0VRKYR |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 358H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10676
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
21123
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
31269
5.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20940
339.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
53678
870.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
58886
957.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
44122
51.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
239184
279.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
506089
592.5 IPS |
|
|
Object Detection (SP)
|
100% |
11456
908.7 IPS |
|
|
Object Detection (HP)
|
100% |
27648
2.19 KIPS |
|
|
Object Detection (Q)
|
88% |
37434
3.00 KIPS |
|
|
Face Detection (SP)
|
100% |
22867
271.7 IPS |
|
|
Face Detection (HP)
|
100% |
61186
727.0 IPS |
|
|
Face Detection (Q)
|
100% |
82124
975.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
34920
269.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
89728
691.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
114187
888.0 IPS |
|
|
Style Transfer (SP)
|
100% |
100853
129.6 IPS |
|
|
Style Transfer (HP)
|
100% |
429548
552.2 IPS |
|
|
Style Transfer (Q)
|
98% |
611654
788.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17864
659.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64249
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
91734
3.40 KIPS |
|
|
Text Classification (SP)
|
100% |
7358
9.82 KIPS |
|
|
Text Classification (HP)
|
100% |
10323
13.8 KIPS |
|
|
Text Classification (Q)
|
92% |
6478
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (HP)
|
98% |
12052
208.3 IPS |
|
|
Machine Translation (Q)
|
100% |
12366
213.0 IPS |
