MacBook Air (2022)
Geekbench AI Score
6852
Single Precision Score
7508
Half Precision Score
6821
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | by2me |
| Upload Date | March 15 2026 01:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
3438
639.4 IPS |
|
|
Image Classification (HP)
|
100% |
3178
591.0 IPS |
|
|
Image Classification (Q)
|
94% |
3019
564.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4875
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4960
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4739
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19960
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
21997
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21420
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (HP)
|
100% |
3235
256.6 IPS |
|
|
Object Detection (Q)
|
91% |
3130
250.1 IPS |
|
|
Face Detection (SP)
|
100% |
9761
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
10854
129.0 IPS |
|
|
Face Detection (Q)
|
100% |
9829
116.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13931
107.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15237
117.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14272
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36273
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40934
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39621
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7749
286.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8381
309.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7290
269.2 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4013
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3922
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2364
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1431
24.7 IPS |
