MacBook Air (2022)
Geekbench AI Score
3316
Single Precision Score
27481
Half Precision Score
30997
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:11 PM |
| Views | 6 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.2 IPS |
|
|
Image Classification (HP)
|
100% |
13924
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15424
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19548
316.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24563
398.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6036
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
104961
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106294
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
99% |
15914
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17738
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2791
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
30871
366.8 IPS |
|
|
Face Detection (Q)
|
100% |
46710
555.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5218
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
83991
647.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
111046
868.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17331
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205113
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
187476
241.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3633
134.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41327
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44952
1.66 KIPS |
|
|
Text Classification (SP)
|
99% |
4037
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6220
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6255
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3463
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4193
72.5 IPS |
