MacBook Air (2022)
Geekbench AI Score
3358
Single Precision Score
28047
Half Precision Score
31479
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:56 AM |
| Views | 7 |
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% |
1144
212.7 IPS |
|
|
Image Classification (HP)
|
100% |
14960
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
15830
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18863
305.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23981
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6101
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
104844
122.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105331
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1366
108.3 IPS |
|
|
Object Detection (HP)
|
99% |
16040
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
18213
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
33530
398.4 IPS |
|
|
Face Detection (Q)
|
100% |
47291
561.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84327
649.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112873
883.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17547
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
195679
251.5 IPS |
|
|
Style Transfer (Q)
|
96% |
185192
239.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43684
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48937
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4103
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6409
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4083
70.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4232
73.1 IPS |
