MacBook Air (2022)
Geekbench AI Score
3232
Single Precision Score
27471
Half Precision Score
30703
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:07 AM |
| Views | 7 |
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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1180
219.4 IPS |
|
|
Image Classification (HP)
|
100% |
13733
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
15392
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19001
308.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23815
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5684
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
105635
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105057
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
15724
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17685
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
34376
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
45833
544.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4975
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86612
667.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110296
862.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16433
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
185000
237.8 IPS |
|
|
Style Transfer (Q)
|
96% |
181179
233.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3585
132.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42867
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49714
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4093
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
6290
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3283
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3921
67.8 IPS |
