MacBook Air (2022)
Geekbench AI Score
3374
Single Precision Score
6248
Half Precision Score
5061
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:45 PM |
| Views | 6 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.7 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.7 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2720
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6096
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
15004
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12941
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1367
108.5 IPS |
|
|
Object Detection (HP)
|
97% |
2777
221.1 IPS |
|
|
Object Detection (Q)
|
94% |
2000
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5797
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3422
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10987
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7675
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17493
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29176
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24227
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3605
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.5 IPS |
|
|
Text Classification (SP)
|
99% |
3972
5.30 KIPS |
|
|
Text Classification (HP)
|
100% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6142
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6343
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6373
110.1 IPS |
