MacBook Air (2022)
Geekbench AI Score
3326
Single Precision Score
27764
Half Precision Score
31151
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 01:03 PM |
| Views | 5 |
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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1186
220.6 IPS |
|
|
Image Classification (HP)
|
100% |
14819
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
15586
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19650
318.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24401
395.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6074
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
105088
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104799
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.6 IPS |
|
|
Object Detection (HP)
|
99% |
15719
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
18147
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34885
414.5 IPS |
|
|
Face Detection (Q)
|
100% |
47147
560.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5111
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86533
666.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
113272
886.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17144
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205531
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
192566
248.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42476
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50713
1.87 KIPS |
|
|
Text Classification (SP)
|
99% |
4069
5.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6183
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6024
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3787
65.4 IPS |
