Dell Inc. Latitude 7320
Geekbench AI Score
2303
Single Precision Score
2082
Half Precision Score
6367
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 02:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz |
| 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% |
1810
336.5 IPS |
|
|
Image Classification (HP)
|
100% |
1808
336.2 IPS |
|
|
Image Classification (Q)
|
100% |
5365
997.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5141
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1280
1.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
6128
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (HP)
|
100% |
1133
89.9 IPS |
|
|
Object Detection (Q)
|
88% |
4830
387.2 IPS |
|
|
Face Detection (SP)
|
100% |
3822
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
2958
35.2 IPS |
|
|
Face Detection (Q)
|
100% |
10714
127.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2575
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2942
22.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9731
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5479
7.04 IPS |
|
|
Style Transfer (HP)
|
100% |
5507
7.08 IPS |
|
|
Style Transfer (Q)
|
98% |
27207
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1474
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6237
231.0 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
3883
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1954
33.7 IPS |
