MacBook Air (2022)
Geekbench AI Score
3086
Single Precision Score
27473
Half Precision Score
30033
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:17 AM |
| Views | 12 |
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% |
1161
215.9 IPS |
|
|
Image Classification (HP)
|
100% |
13850
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
14940
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1211
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18902
306.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21558
349.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5797
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
106551
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105475
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (HP)
|
99% |
15350
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
16464
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
34378
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
45843
544.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5099
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86204
664.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109057
853.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17033
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
199639
256.6 IPS |
|
|
Style Transfer (Q)
|
96% |
192117
247.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42502
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48579
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
4005
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6379
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6324
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2120
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3618
62.5 IPS |
