Dell Inc. Latitude 7320
Geekbench AI Score
3002
Single Precision Score
4636
Half Precision Score
6200
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 06:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7320 |
| Motherboard | Dell Inc. 0PKK8F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2511
466.9 IPS |
|
|
Image Classification (HP)
|
100% |
3466
644.5 IPS |
|
|
Image Classification (Q)
|
99% |
4384
817.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4182
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6753
109.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7645
123.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5405
6.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
5053
5.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
16487
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
100% |
1992
158.0 IPS |
|
|
Object Detection (Q)
|
90% |
1722
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
2816
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
6394
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
9214
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5577
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9854
76.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11376
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19900
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31202
40.1 IPS |
|
|
Style Transfer (Q)
|
98% |
67440
87.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3955
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5649
208.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9853
364.9 IPS |
|
|
Text Classification (SP)
|
71% |
815
1.18 KIPS |
|
|
Text Classification (HP)
|
71% |
1108
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
882
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1583
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1437
24.8 IPS |
