Dell Inc. XPS 13 9350
Geekbench AI Score
12138
Single Precision Score
33096
Half Precision Score
40469
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | ciassoc |
| Upload Date | February 14 2026 09:02 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
7920
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
16645
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
22041
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9912
160.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28220
457.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33391
542.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23723
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
139603
162.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
273490
320.2 IPS |
|
|
Object Detection (SP)
|
100% |
7102
563.3 IPS |
|
|
Object Detection (HP)
|
100% |
17602
1.40 KIPS |
|
|
Object Detection (Q)
|
88% |
26386
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
15513
184.3 IPS |
|
|
Face Detection (HP)
|
100% |
38062
452.3 IPS |
|
|
Face Detection (Q)
|
100% |
55670
661.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25393
195.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
65478
504.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
77611
603.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59891
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
219754
282.5 IPS |
|
|
Style Transfer (Q)
|
98% |
310949
401.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10032
370.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37313
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46428
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
5211
6.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7639
10.2 KIPS |
|
|
Text Classification (Q)
|
92% |
4059
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8753
151.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8763
150.9 IPS |
