MacBook Air (2022)
Geekbench AI Score
3426
Single Precision Score
26773
Half Precision Score
29630
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mark6845 |
| Upload Date | August 27 2025 11:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
14480
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
14876
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19379
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24031
389.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
106943
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105710
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
16382
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
18431
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3050
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
33356
396.3 IPS |
|
|
Face Detection (Q)
|
100% |
42595
506.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5502
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86191
664.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108632
848.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18564
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202989
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194129
250.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3908
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39620
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48779
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3885
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3879
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4407
76.2 IPS |
