NTB-08 Dell Inc. Latitude 5550
Geekbench AI Score
1801
Single Precision Score
753
Half Precision Score
3572
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | vysledky |
| Upload Date | April 08 2025 02:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Latitude 5550 |
| Motherboard | Dell Inc. 0R8K9F |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1862
346.2 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
99% |
4146
773.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2524
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3614
4.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
13504
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
86% |
3788
304.4 IPS |
|
|
Face Detection (SP)
|
100% |
4357
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
6361
75.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4790
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1198
9.23 IPS |
|
|
Depth Estimation (Q)
|
78% |
10449
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7802
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
4924
6.33 IPS |
|
|
Style Transfer (Q)
|
98% |
13195
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
955
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
222
295.9 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.5 IPS |
|
|
Text Classification (Q)
|
97% |
343
459.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2201
44.2 IPS |
