MacBook Air (2022)
Geekbench AI Score
3214
Single Precision Score
6114
Half Precision Score
4692
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:50 PM |
| Views | 11 |
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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
2442
454.1 IPS |
|
|
Image Classification (Q)
|
96% |
1618
302.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2672
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5567
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
14329
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12725
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1285
102.0 IPS |
|
|
Object Detection (HP)
|
97% |
2729
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1991
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5654
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
3340
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5106
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10615
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7539
58.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15772
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28706
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23719
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3515
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4913
181.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3623
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
4026
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6295
8.40 KIPS |
|
|
Text Classification (Q)
|
92% |
6212
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3258
56.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6136
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3514
60.7 IPS |
