MacBook Air (2022)
Geekbench AI Score
3346
Single Precision Score
6207
Half Precision Score
5063
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 03:55 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
2479
461.1 IPS |
|
|
Image Classification (Q)
|
96% |
1717
320.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2708
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6096
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
14987
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12898
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
2000
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
5722
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
3381
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5212
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10714
82.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7684
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17316
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29111
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24183
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5061
186.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3702
136.7 IPS |
|
|
Text Classification (SP)
|
99% |
4049
5.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6251
8.34 KIPS |
|
|
Text Classification (Q)
|
92% |
6425
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6220
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6178
106.8 IPS |
