MacBook Air (2022)
Geekbench AI Score
3124
Single Precision Score
5749
Half Precision Score
4701
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.0 IPS |
|
|
Image Classification (HP)
|
100% |
2448
455.3 IPS |
|
|
Image Classification (Q)
|
96% |
1707
318.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2698
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5339
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
12500
14.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12539
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (HP)
|
97% |
2720
216.5 IPS |
|
|
Object Detection (Q)
|
94% |
1989
158.6 IPS |
|
|
Face Detection (SP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5670
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3295
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4625
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10656
82.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7338
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14875
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28689
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18863
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3344
123.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4966
183.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2959
109.3 IPS |
|
|
Text Classification (SP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6530
8.72 KIPS |
|
|
Text Classification (Q)
|
92% |
6138
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3596
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5548
95.9 IPS |
