Apple Inc. MacBookAir6,2
Geekbench AI Score
590
Single Precision Score
340
Half Precision Score
651
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | October 02 2025 05:48 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Apple Inc. MacBookAir6,2 |
| Motherboard | Apple Inc. Mac-7DF21CB3ED6977E5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4250U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
154
28.6 IPS |
|
|
Image Classification (Q)
|
96% |
429
80.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
494
8.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
793
0.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.76 IPS |
|
|
Pose Estimation (Q)
|
86% |
902
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (HP)
|
100% |
183
14.5 IPS |
|
|
Object Detection (Q)
|
58% |
303
33.2 IPS |
|
|
Face Detection (SP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (Q)
|
96% |
1044
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1012
7.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
495
3.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
1053
8.40 IPS |
|
|
Style Transfer (SP)
|
100% |
1977
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
1510
1.94 IPS |
|
|
Style Transfer (Q)
|
87% |
2059
2.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
418
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
515
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.8 IPS |
|
|
Text Classification (HP)
|
100% |
243
324.9 IPS |
|
|
Text Classification (Q)
|
97% |
353
473.2 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (Q)
|
68% |
578
11.2 IPS |
