Dell Inc. XPS 9320
Geekbench AI Score
1282
Single Precision Score
1269
Half Precision Score
4068
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 11:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i7-1260P |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| 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 | 30.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
572
106.4 IPS |
|
|
Image Classification (HP)
|
100% |
575
106.9 IPS |
|
|
Image Classification (Q)
|
100% |
2659
494.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2340
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1812
2.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1814
2.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
7623
8.93 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
88% |
2764
221.6 IPS |
|
|
Face Detection (SP)
|
100% |
1925
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (Q)
|
100% |
5663
67.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1950
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
6329
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5340
6.86 IPS |
|
|
Style Transfer (HP)
|
100% |
5225
6.72 IPS |
|
|
Style Transfer (Q)
|
98% |
21224
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4202
155.6 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.8 IPS |
|
|
Text Classification (HP)
|
100% |
699
932.6 IPS |
|
|
Text Classification (Q)
|
92% |
2349
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1309
22.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1262
21.7 IPS |
