Dell Inc. XPS 14 DA14260
Geekbench AI Score
17356
Single Precision Score
43534
Half Precision Score
52714
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| Upload Date | March 28 2026 09:26 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B390 GPU (iGPU) |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| 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% |
10610
1.97 KIPS |
|
|
Image Classification (HP)
|
100% |
20799
3.87 KIPS |
|
|
Image Classification (Q)
|
100% |
25454
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19227
311.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
52744
855.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
58592
952.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41570
48.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
222662
259.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
504195
590.3 IPS |
|
|
Object Detection (SP)
|
100% |
11094
880.0 IPS |
|
|
Object Detection (HP)
|
100% |
27123
2.15 KIPS |
|
|
Object Detection (Q)
|
88% |
33009
2.65 KIPS |
|
|
Face Detection (SP)
|
100% |
21282
252.9 IPS |
|
|
Face Detection (HP)
|
100% |
58930
700.2 IPS |
|
|
Face Detection (Q)
|
100% |
81413
967.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33472
257.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88826
684.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
114133
887.5 IPS |
|
|
Style Transfer (SP)
|
100% |
105311
135.4 IPS |
|
|
Style Transfer (HP)
|
100% |
397211
510.6 IPS |
|
|
Style Transfer (Q)
|
98% |
606884
782.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17887
660.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57964
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
69100
2.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4161
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4561
6.09 KIPS |
|
|
Text Classification (Q)
|
92% |
2614
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4723
81.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6715
116.0 IPS |
|
|
Machine Translation (Q)
|
100% |
6553
112.9 IPS |
