MacBook Air (2022)
Geekbench AI Score
2099
Single Precision Score
3772
Half Precision Score
3015
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GrooGrux78 |
| Upload Date | January 31 2026 09:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
764
142.1 IPS |
|
|
Image Classification (HP)
|
100% |
1501
279.1 IPS |
|
|
Image Classification (Q)
|
96% |
1033
192.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1671
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3799
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
9398
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8063
9.45 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
97% |
1731
137.8 IPS |
|
|
Object Detection (Q)
|
94% |
1234
98.4 IPS |
|
|
Face Detection (SP)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (Q)
|
100% |
2099
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3447
26.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6839
52.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4807
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11120
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17378
22.3 IPS |
|
|
Style Transfer (Q)
|
96% |
14362
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2430
89.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3243
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2334
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (HP)
|
99% |
2436
3.25 KIPS |
|
|
Text Classification (Q)
|
93% |
2426
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4397
76.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4415
76.3 IPS |
