Dell Inc. XPS 9320
Geekbench AI Score
2693
Single Precision Score
2586
Half Precision Score
6959
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 02:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1260P |
| System Information | |
|---|---|
| Operating System | openSUSE Tumbleweed |
| Model | Dell Inc. XPS 9320 |
| Motherboard | Dell Inc. 0CW9KM |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
1571
292.2 IPS |
|
|
Image Classification (Q)
|
100% |
4306
800.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4118
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3318
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2372
2.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
12200
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (Q)
|
88% |
4522
362.5 IPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
10127
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3925
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3870
29.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11671
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8594
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8894
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
34047
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1791
66.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6941
257.1 IPS |
|
|
Text Classification (SP)
|
100% |
1767
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1592
2.13 KIPS |
|
|
Text Classification (Q)
|
92% |
3779
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2659
45.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2557
44.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2580
44.4 IPS |
