MacBook Air (2022)
Geekbench AI Score
3005
Single Precision Score
25621
Half Precision Score
30780
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 01:05 PM |
| Views | 5 |
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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1171
217.7 IPS |
|
|
Image Classification (HP)
|
100% |
13794
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
16281
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15945
258.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23045
373.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5130
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
97949
114.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104764
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1264
100.2 IPS |
|
|
Object Detection (HP)
|
99% |
15972
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
18291
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
31334
372.3 IPS |
|
|
Face Detection (Q)
|
100% |
44957
534.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4777
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
76426
588.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107808
843.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15626
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
190382
244.7 IPS |
|
|
Style Transfer (Q)
|
96% |
188989
243.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3418
126.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39579
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52417
1.94 KIPS |
|
|
Text Classification (SP)
|
99% |
3932
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5989
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3693
63.8 IPS |
