MacBook Air (2022)
Geekbench AI Score
3324
Single Precision Score
6040
Half Precision Score
4893
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | gergoszatmari |
| Upload Date | January 24 2026 03:27 PM |
| Views | 8 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.9 IPS |
|
|
Image Classification (Q)
|
96% |
1752
327.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2768
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
15209
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12818
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2807
223.5 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3096
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5998
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3481
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10910
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7754
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18078
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28249
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23503
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5029
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3715
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6800
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6763
116.9 IPS |
