MacBook Air (2022)
Geekbench AI Score
3305
Single Precision Score
27726
Half Precision Score
30745
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:22 AM |
| Views | 9 |
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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
14446
2.69 KIPS |
|
|
Image Classification (Q)
|
97% |
15381
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19089
309.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23621
382.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5679
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
105249
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104461
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
99% |
14716
1.17 KIPS |
|
|
Object Detection (Q)
|
89% |
18020
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2904
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
34255
407.0 IPS |
|
|
Face Detection (Q)
|
100% |
46384
551.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85842
661.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109252
854.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17291
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
206241
265.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188601
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40933
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44535
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
6470
8.64 KIPS |
|
|
Text Classification (Q)
|
92% |
6325
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3418
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4100
70.8 IPS |
