MacBook Air (2022)
Geekbench AI Score
3321
Single Precision Score
27276
Half Precision Score
30849
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:14 PM |
| Views | 8 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
12955
2.41 KIPS |
|
|
Image Classification (Q)
|
97% |
15118
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18558
300.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22950
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5958
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
104176
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104621
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (HP)
|
99% |
15882
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17879
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
34821
413.7 IPS |
|
|
Face Detection (Q)
|
100% |
46746
555.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5212
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85738
660.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
112180
877.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16993
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
191182
245.8 IPS |
|
|
Style Transfer (Q)
|
96% |
194512
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3660
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41953
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48806
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
3991
5.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6435
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3831
66.2 IPS |
