MacBook Air (2022)
Geekbench AI Score
5662
Single Precision Score
6346
Half Precision Score
6148
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2766
514.4 IPS |
|
|
Image Classification (HP)
|
100% |
2720
505.8 IPS |
|
|
Image Classification (Q)
|
94% |
2547
476.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4107
66.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4224
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4063
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16471
19.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18573
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18029
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (Q)
|
91% |
2350
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
8104
96.3 IPS |
|
|
Face Detection (HP)
|
100% |
9037
107.4 IPS |
|
|
Face Detection (Q)
|
100% |
8195
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10596
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12589
97.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12439
97.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31088
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34966
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33968
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6546
241.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7315
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6227
229.9 IPS |
|
|
Text Classification (SP)
|
99% |
4027
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6358
8.49 KIPS |
|
|
Text Classification (Q)
|
92% |
6249
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1306
22.6 IPS |
