MacBook Air (2022)
Geekbench AI Score
3272
Single Precision Score
26301
Half Precision Score
28761
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 08 2026 11:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.4 IPS |
|
|
Image Classification (HP)
|
100% |
14633
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15484
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19453
315.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24046
389.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
106336
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105715
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
99% |
16018
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
18080
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34241
406.9 IPS |
|
|
Face Detection (Q)
|
100% |
43850
521.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5305
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87581
674.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110169
860.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17900
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204997
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
193051
249.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42736
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44994
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3848
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3840
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3378
58.4 IPS |
