MacBook Air (2022)
Geekbench AI Score
3317
Single Precision Score
6045
Half Precision Score
4901
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | OliJWalker |
| Upload Date | January 06 2026 03:37 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6341
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15184
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12973
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2814
224.0 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6046
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3515
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5466
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11045
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7773
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18115
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28386
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23615
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3796
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5178
191.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3738
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3766
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6785
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6679
115.4 IPS |
