Apple Inc. MacBookAir7,2
Geekbench AI Score
821
Single Precision Score
837
Half Precision Score
902
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-5250U CPU @ 1.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Apple Inc. MacBookAir7,2 |
| Motherboard | Apple Inc. Mac-937CB26E2E02BB01 |
| Power Plan | Echilibrat |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5250U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (HP)
|
100% |
473
87.9 IPS |
|
|
Image Classification (Q)
|
100% |
544
101.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
99% |
629
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
956
1.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
1061
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
447
35.5 IPS |
|
|
Object Detection (HP)
|
100% |
467
37.1 IPS |
|
|
Object Detection (Q)
|
87% |
554
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
1530
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1177
9.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
1247
9.61 IPS |
|
|
Depth Estimation (Q)
|
81% |
1410
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2757
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2849
3.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3210
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
581
21.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
635
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
603
805.4 IPS |
|
|
Text Classification (HP)
|
100% |
629
839.1 IPS |
|
|
Text Classification (Q)
|
91% |
393
528.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1030
17.7 IPS |
