MacBook Air (2022)
Geekbench AI Score
3207
Single Precision Score
27397
Half Precision Score
30797
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:05 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
13923
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15653
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18138
294.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23724
384.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5814
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
105099
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105651
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
99% |
15658
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17519
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
34073
404.9 IPS |
|
|
Face Detection (Q)
|
100% |
45258
537.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4962
38.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87741
676.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108095
845.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16499
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202122
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191279
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41661
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49862
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
3944
5.26 KIPS |
|
|
Text Classification (HP)
|
100% |
6015
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6059
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3254
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3951
68.3 IPS |
