MacBook Air (2022)
Geekbench AI Score
3325
Single Precision Score
6041
Half Precision Score
4896
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | TheGT |
| Upload Date | January 04 2026 12:51 PM |
| Views | 7 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
2492
463.4 IPS |
|
|
Image Classification (Q)
|
96% |
1735
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2759
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6343
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15255
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13084
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
97% |
2821
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6001
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5490
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11040
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7802
61.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18145
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28369
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23573
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4989
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3709
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3840
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6741
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6803
117.6 IPS |
