MacBook Air (2022)
Geekbench AI Score
3360
Single Precision Score
27601
Half Precision Score
31017
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 03:50 PM |
| Views | 10 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.7 IPS |
|
|
Image Classification (HP)
|
100% |
14324
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
15852
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19535
316.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24444
396.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6114
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
105814
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104537
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
99% |
15545
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17480
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34950
415.3 IPS |
|
|
Face Detection (Q)
|
100% |
46610
553.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5170
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85508
658.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110205
862.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17315
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202772
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
187524
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3617
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41248
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49616
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4003
5.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6177
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6297
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3612
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3868
66.8 IPS |
