MacBook Air (2022)
Geekbench AI Score
3016
Single Precision Score
27375
Half Precision Score
29784
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 04:47 PM |
| Views | 11 |
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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1227
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
13623
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15582
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18203
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23673
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5807
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
105453
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104992
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1328
105.3 IPS |
|
|
Object Detection (HP)
|
99% |
15695
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17456
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2689
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
34232
406.7 IPS |
|
|
Face Detection (Q)
|
100% |
45919
545.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87168
671.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109628
857.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16723
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203672
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189286
244.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41892
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46029
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
92% |
6157
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3009
52.0 IPS |
