MacBook Air (2022)
Geekbench AI Score
3229
Single Precision Score
5699
Half Precision Score
4890
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 10:55 AM |
| 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 | 3.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
2458
457.1 IPS |
|
|
Image Classification (Q)
|
96% |
1677
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2358
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2516
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5989
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
11211
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12357
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.6 IPS |
|
|
Object Detection (HP)
|
97% |
1881
149.8 IPS |
|
|
Object Detection (Q)
|
94% |
2010
160.2 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5060
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
3365
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3802
29.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10741
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6717
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16077
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28305
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23249
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3511
129.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3582
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
4193
5.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6375
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6314
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6243
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6289
108.7 IPS |
