MacBook Air (2022)
Geekbench AI Score
3324
Single Precision Score
27449
Half Precision Score
30765
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:03 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1243
231.1 IPS |
|
|
Image Classification (HP)
|
100% |
13289
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
15386
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19098
309.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24023
389.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5982
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
104726
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105492
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
15538
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17686
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2893
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34378
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
46090
547.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5131
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85305
657.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110163
861.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17139
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201635
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
190032
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41199
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46792
1.73 KIPS |
|
|
Text Classification (SP)
|
99% |
3987
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
6256
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6081
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3859
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4013
69.3 IPS |
