MacBook Air (2022)
Geekbench AI Score
3299
Single Precision Score
27773
Half Precision Score
29929
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:51 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
14198
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15355
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18294
296.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23733
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6030
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
106162
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105638
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.5 IPS |
|
|
Object Detection (HP)
|
99% |
15925
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17581
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2909
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
34866
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
45417
539.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85262
656.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
82524
645.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15991
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
204577
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192587
248.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41234
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48895
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
3976
5.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6308
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6261
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3857
66.7 IPS |
