Zebra Technologies ET65W
Geekbench AI Score
1462
Single Precision Score
3530
Half Precision Score
1125
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 08 2025 04:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Zebra Technologies ET65W |
| Motherboard | Zebra Technologies Meteor Lake |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (HP)
|
100% |
2046
380.4 IPS |
|
|
Image Classification (Q)
|
100% |
409
76.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3439
55.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
535
8.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
9095
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
5044
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (HP)
|
99% |
2200
175.0 IPS |
|
|
Object Detection (Q)
|
86% |
424
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
836
9.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
2680
20.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8862
68.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
2320
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14869
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24856
32.0 IPS |
|
|
Style Transfer (Q)
|
98% |
11929
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2541
93.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1892
70.0 IPS |
|
|
Text Classification (SP)
|
86% |
479
647.8 IPS |
|
|
Text Classification (HP)
|
99% |
453
605.0 IPS |
|
|
Text Classification (Q)
|
84% |
291
395.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1451
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1273
21.9 IPS |
|
|
Machine Translation (Q)
|
70% |
547
10.3 IPS |
