MacBook Air (2022)
Geekbench AI Score
3311
Single Precision Score
26712
Half Precision Score
29279
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 18 2026 12:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1306
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
14894
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
15152
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19742
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23741
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6304
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
105583
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106380
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
99% |
15836
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17035
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
34659
411.8 IPS |
|
|
Face Detection (Q)
|
100% |
43802
520.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5455
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87883
677.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
107275
838.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18088
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203270
261.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190809
246.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37366
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46860
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4383
75.7 IPS |
