MacBook Air (2022)
Geekbench AI Score
3379
Single Precision Score
5919
Half Precision Score
5034
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:56 PM |
| Views | 9 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.1 IPS |
|
|
Image Classification (Q)
|
96% |
1710
319.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2372
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2635
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6049
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
14834
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12800
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.2 IPS |
|
|
Object Detection (HP)
|
97% |
2640
210.1 IPS |
|
|
Object Detection (Q)
|
94% |
2018
160.9 IPS |
|
|
Face Detection (SP)
|
100% |
2942
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
5780
68.7 IPS |
|
|
Face Detection (Q)
|
100% |
3413
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5210
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10385
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7623
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17367
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19274
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23871
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5060
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3678
135.8 IPS |
|
|
Text Classification (SP)
|
99% |
4036
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
6379
8.52 KIPS |
|
|
Text Classification (Q)
|
92% |
6272
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6322
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6272
108.4 IPS |
