Dell Inc. Latitude 7320
Geekbench AI Score
3919
Single Precision Score
5425
Half Precision Score
8224
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 02:53 AM |
| Views | 3 |
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% |
2592
482.0 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.9 IPS |
|
|
Image Classification (Q)
|
99% |
4622
862.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4133
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6827
110.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7499
121.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4771
5.57 IPS |
|
|
Pose Estimation (HP)
|
99% |
5170
6.03 IPS |
|
|
Pose Estimation (Q)
|
97% |
25106
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2319
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
3330
264.1 IPS |
|
|
Object Detection (Q)
|
90% |
4922
393.6 IPS |
|
|
Face Detection (SP)
|
100% |
6668
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
9660
114.8 IPS |
|
|
Face Detection (Q)
|
100% |
15218
180.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8965
69.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13380
103.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
17457
135.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24357
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29955
38.5 IPS |
|
|
Style Transfer (Q)
|
98% |
68040
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3971
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10287
381.0 IPS |
|
|
Text Classification (SP)
|
71% |
983
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1292
1.87 KIPS |
|
|
Text Classification (Q)
|
92% |
1077
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1705
29.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1651
28.5 IPS |
