Dell Inc. Latitude 7450
Geekbench AI Score
6358
Single Precision Score
9374
Half Precision Score
13291
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | byuen1 |
| Upload Date | January 30 2025 12:40 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 7450 |
| Motherboard | Dell Inc. 0XR3XW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4243
789.1 IPS |
|
|
Image Classification (HP)
|
100% |
6326
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
7122
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4206
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9174
148.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12925
209.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17065
19.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
15557
18.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
44194
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
4079
323.6 IPS |
|
|
Object Detection (HP)
|
100% |
6316
501.0 IPS |
|
|
Object Detection (Q)
|
88% |
8367
670.5 IPS |
|
|
Face Detection (SP)
|
100% |
8824
104.9 IPS |
|
|
Face Detection (HP)
|
100% |
16688
198.3 IPS |
|
|
Face Detection (Q)
|
100% |
25989
308.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15740
121.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
24874
192.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26113
203.0 IPS |
|
|
Style Transfer (SP)
|
100% |
41975
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50797
65.3 IPS |
|
|
Style Transfer (Q)
|
98% |
107400
138.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6258
231.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15106
559.4 IPS |
|
|
Text Classification (SP)
|
71% |
1231
1.78 KIPS |
|
|
Text Classification (HP)
|
71% |
1789
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1914
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1935
33.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2341
40.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2399
41.3 IPS |
