MacBook Air (2022)
Geekbench AI Score
6448
Single Precision Score
7036
Half Precision Score
6746
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | TheGT |
| Upload Date | January 04 2026 12:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3317
616.8 IPS |
|
|
Image Classification (HP)
|
100% |
3171
589.7 IPS |
|
|
Image Classification (Q)
|
96% |
2974
555.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4957
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4768
77.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
19948
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22007
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21331
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
3079
244.2 IPS |
|
|
Object Detection (Q)
|
92% |
2970
237.1 IPS |
|
|
Face Detection (SP)
|
100% |
9172
109.0 IPS |
|
|
Face Detection (HP)
|
100% |
9106
108.2 IPS |
|
|
Face Detection (Q)
|
100% |
8611
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13606
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15176
116.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
13941
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36116
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40772
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39173
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7885
291.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8532
315.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7313
270.0 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3905
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3893
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1624
28.1 IPS |
