MacBook Air (2022)
Geekbench AI Score
3171
Single Precision Score
6053
Half Precision Score
4929
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1231
228.9 IPS |
|
|
Image Classification (HP)
|
100% |
2422
450.5 IPS |
|
|
Image Classification (Q)
|
96% |
1684
314.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1280
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2250
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2688
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5902
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
14535
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12131
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
97% |
2704
215.2 IPS |
|
|
Object Detection (Q)
|
94% |
1985
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
2550
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
5585
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3259
38.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4924
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10254
79.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7288
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16705
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28493
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23629
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3531
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
134.7 IPS |
|
|
Text Classification (SP)
|
99% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6372
8.50 KIPS |
|
|
Text Classification (Q)
|
92% |
6301
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6016
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6019
104.0 IPS |
