MacBook Air (2022)
Geekbench AI Score
3186
Single Precision Score
5726
Half Precision Score
4785
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:53 PM |
| Views | 10 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.0 IPS |
|
|
Image Classification (Q)
|
96% |
1708
318.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2329
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2627
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5817
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14221
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10495
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1343
106.5 IPS |
|
|
Object Detection (HP)
|
97% |
2722
216.7 IPS |
|
|
Object Detection (Q)
|
94% |
1974
157.4 IPS |
|
|
Face Detection (SP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3667
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
2865
34.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4623
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9643
74.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7552
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17032
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25439
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22779
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3565
131.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3630
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6383
8.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6136
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6080
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6173
106.7 IPS |
