MacBook Air (2022)
Geekbench AI Score
3275
Single Precision Score
27080
Half Precision Score
30184
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 26 2026 01:59 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
14649
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
16061
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19880
322.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23914
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6248
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
103963
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105176
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
16088
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
18173
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3004
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
34186
406.2 IPS |
|
|
Face Detection (Q)
|
100% |
43974
522.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5390
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88844
684.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111499
871.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17884
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202568
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
193266
249.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42469
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51331
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3987
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4041
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4180
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4351
75.2 IPS |
