Apple Inc. MacBookAir7,2
Geekbench AI Score
614
Single Precision Score
355
Half Precision Score
597
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-5250U |
| 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% |
427
79.5 IPS |
|
|
Image Classification (HP)
|
100% |
175
32.5 IPS |
|
|
Image Classification (Q)
|
96% |
487
90.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
360
5.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
881
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
710
0.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
912
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
58% |
303
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
415
4.93 IPS |
|
|
Face Detection (Q)
|
96% |
1100
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1088
8.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
1135
9.06 IPS |
|
|
Style Transfer (SP)
|
100% |
2075
2.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1576
2.03 IPS |
|
|
Style Transfer (Q)
|
87% |
2027
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
420
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
348
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
443
16.4 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.1 IPS |
|
|
Text Classification (HP)
|
100% |
211
282.0 IPS |
|
|
Text Classification (Q)
|
97% |
186
249.5 IPS |
|
|
Machine Translation (SP)
|
100% |
554
9.54 IPS |
|
|
Machine Translation (HP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (Q)
|
68% |
570
11.0 IPS |
