MacBook Air (2022)
Geekbench AI Score
3184
Single Precision Score
5757
Half Precision Score
4803
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
2249
418.3 IPS |
|
|
Image Classification (Q)
|
96% |
1637
305.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2512
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5927
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
13756
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11902
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
97% |
2649
210.9 IPS |
|
|
Object Detection (Q)
|
94% |
1953
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
2724
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
5215
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3224
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5009
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9936
76.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7438
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16530
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26776
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23456
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3482
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4758
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3505
129.4 IPS |
|
|
Text Classification (SP)
|
99% |
3999
5.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6171
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6059
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3127
53.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5757
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5732
99.1 IPS |
