Dell Inc. Latitude 3550
Geekbench AI Score
5572
Single Precision Score
10777
Half Precision Score
4121
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 05:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX570 A |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 3550 |
| Motherboard | Dell Inc. 05WK5P |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2584
480.6 IPS |
|
|
Image Classification (HP)
|
99% |
5393
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
2240
417.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3773
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6215
100.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3051
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23778
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
77210
90.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
19964
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
3011
238.8 IPS |
|
|
Object Detection (HP)
|
100% |
6341
503.0 IPS |
|
|
Object Detection (Q)
|
84% |
2620
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
5960
70.8 IPS |
|
|
Face Detection (HP)
|
100% |
10847
128.9 IPS |
|
|
Face Detection (Q)
|
97% |
4958
59.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13876
106.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31396
241.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
10511
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44600
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
129824
166.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35582
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7852
289.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17027
628.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5319
197.0 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2325
3.10 KIPS |
|
|
Text Classification (Q)
|
97% |
831
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
70% |
483
9.06 IPS |
