MacBook Air (2022)
Geekbench AI Score
3193
Single Precision Score
27358
Half Precision Score
30694
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:28 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1217
226.4 IPS |
|
|
Image Classification (HP)
|
100% |
13772
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
15445
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19041
308.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23863
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6032
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
106338
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105418
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
99% |
15239
1.21 KIPS |
|
|
Object Detection (Q)
|
89% |
17412
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
34261
407.1 IPS |
|
|
Face Detection (Q)
|
100% |
46192
548.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5077
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85747
660.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
110285
862.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17148
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201983
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
189714
244.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41547
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48371
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
4003
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6358
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6323
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3527
60.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3712
64.1 IPS |
