MacBook Air (2022)
Geekbench AI Score
3193
Single Precision Score
5872
Half Precision Score
4840
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:15 AM |
| Views | 9 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1222
227.2 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.5 IPS |
|
|
Image Classification (Q)
|
96% |
1709
319.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2685
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5580
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
13061
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12156
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1260
100.0 IPS |
|
|
Object Detection (HP)
|
97% |
2603
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1890
150.7 IPS |
|
|
Face Detection (SP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (Q)
|
100% |
3257
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5139
39.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10708
82.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7236
56.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16634
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28758
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22791
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3523
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3874
143.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3559
131.4 IPS |
|
|
Text Classification (SP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6192
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6057
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6154
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5779
99.9 IPS |
