MacBook Air (2022)
Geekbench AI Score
3287
Single Precision Score
26032
Half Precision Score
28594
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 17 2026 01:14 PM |
| Views | 7 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1304
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
14520
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
16085
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19703
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24101
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6300
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
105763
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106928
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
99% |
15827
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17582
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
34324
407.8 IPS |
|
|
Face Detection (Q)
|
100% |
43433
516.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5338
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87657
675.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109915
858.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18045
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205175
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193567
249.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39066
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41868
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3224
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3360
58.1 IPS |
