MacBook Air (2022)
Geekbench AI Score
3341
Single Precision Score
27923
Half Precision Score
29858
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:06 PM |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1254
233.3 IPS |
|
|
Image Classification (HP)
|
100% |
13930
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15214
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19317
313.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24071
390.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5942
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
106142
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104475
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
15917
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
15532
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
2951
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
34685
412.1 IPS |
|
|
Face Detection (Q)
|
100% |
35627
423.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5202
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84496
651.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111905
875.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17300
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205001
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192941
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3556
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42638
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49241
1.82 KIPS |
|
|
Text Classification (SP)
|
99% |
4025
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6476
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6134
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4079
70.5 IPS |
