MacBook Air (2022)
Geekbench AI Score
3364
Single Precision Score
6232
Half Precision Score
5062
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 11:48 AM |
| Views | 4 |
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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1263
234.9 IPS |
|
|
Image Classification (HP)
|
100% |
2469
459.1 IPS |
|
|
Image Classification (Q)
|
96% |
1723
321.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6082
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
15040
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12988
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
97% |
2781
221.4 IPS |
|
|
Object Detection (Q)
|
94% |
2017
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
2925
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
5787
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3414
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5199
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10783
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7664
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17430
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29065
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24096
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3621
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5008
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3678
135.8 IPS |
|
|
Text Classification (SP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
6275
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6243
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6283
108.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6330
109.4 IPS |
