MacBook Air (2022)
Geekbench AI Score
3077
Single Precision Score
27295
Half Precision Score
30252
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 23 2026 01:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1179
219.3 IPS |
|
|
Image Classification (HP)
|
100% |
13926
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15030
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1196
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18510
300.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22963
372.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5592
6.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
104300
121.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103148
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.6 IPS |
|
|
Object Detection (HP)
|
99% |
15275
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17804
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2604
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
34059
404.7 IPS |
|
|
Face Detection (Q)
|
100% |
46567
553.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4910
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88178
679.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
103183
807.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15389
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204049
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189433
244.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43387
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49772
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
3916
5.23 KIPS |
|
|
Text Classification (HP)
|
99% |
6095
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6016
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2975
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3717
64.2 IPS |
