MacBook Air (2022)
Geekbench AI Score
3275
Single Precision Score
6037
Half Precision Score
4975
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:41 PM |
| Views | 14 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1215
225.9 IPS |
|
|
Image Classification (HP)
|
100% |
2440
453.8 IPS |
|
|
Image Classification (Q)
|
96% |
1699
317.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2345
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2695
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5995
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14782
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12780
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (HP)
|
97% |
2490
198.3 IPS |
|
|
Object Detection (Q)
|
94% |
1985
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5506
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3294
39.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5010
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10465
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7472
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16867
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
28505
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23689
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4944
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3617
133.6 IPS |
|
|
Text Classification (SP)
|
99% |
4034
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6227
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6502
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6040
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5836
100.8 IPS |
