MacBook Air (2022)
Geekbench AI Score
3135
Single Precision Score
26530
Half Precision Score
29675
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:13 PM |
| Views | 8 |
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 | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1209
224.9 IPS |
|
|
Image Classification (HP)
|
100% |
14111
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
14183
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16926
274.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
22905
371.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5585
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
97740
114.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105612
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1324
105.0 IPS |
|
|
Object Detection (HP)
|
99% |
15835
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17853
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
33951
403.4 IPS |
|
|
Face Detection (Q)
|
100% |
45239
537.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5037
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78050
601.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
85547
669.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15847
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201692
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
191479
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42046
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50321
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
3985
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6191
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6036
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3359
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3842
66.4 IPS |
