MacBook Air (2022)
Geekbench AI Score
3097
Single Precision Score
26737
Half Precision Score
30200
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:33 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 | 3.33 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1200
223.2 IPS |
|
|
Image Classification (HP)
|
100% |
12236
2.28 KIPS |
|
|
Image Classification (Q)
|
97% |
15068
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18220
295.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22743
368.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5862
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
93591
109.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
97496
114.3 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
99% |
15432
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17477
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
34235
406.8 IPS |
|
|
Face Detection (Q)
|
100% |
44050
523.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4761
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85823
661.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
110421
863.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15453
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201821
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190473
245.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3432
126.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41887
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49980
1.85 KIPS |
|
|
Text Classification (SP)
|
99% |
3944
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6187
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3774
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3851
66.5 IPS |
