AZW SEi
Geekbench AI Score
2293
Single Precision Score
930
Half Precision Score
3916
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1240P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AZW SEi |
| Motherboard | AZW SEi |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1240P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
99% |
3603
672.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1083
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
657
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2294
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3691
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
10030
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (Q)
|
86% |
3360
270.0 IPS |
|
|
Face Detection (SP)
|
100% |
4079
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
5708
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1222
9.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
8075
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8311
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
5851
7.52 IPS |
|
|
Style Transfer (Q)
|
98% |
13854
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1139
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2373
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
467
622.9 IPS |
|
|
Text Classification (Q)
|
97% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (Q)
|
65% |
1987
39.9 IPS |
