MacBook Air (2022)
Geekbench AI Score
3368
Single Precision Score
27860
Half Precision Score
30918
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:52 PM |
| Views | 8 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1288
239.6 IPS |
|
|
Image Classification (HP)
|
100% |
12606
2.34 KIPS |
|
|
Image Classification (Q)
|
97% |
15421
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19281
312.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20389
330.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6060
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
105207
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106284
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (HP)
|
99% |
16047
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
18295
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
34921
414.9 IPS |
|
|
Face Detection (Q)
|
100% |
46965
558.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5085
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87729
675.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
111013
868.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17443
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201822
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194732
251.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41926
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49890
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6653
8.88 KIPS |
|
|
Text Classification (Q)
|
92% |
6189
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3982
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4165
72.0 IPS |
