MacBook Air (2022)
Geekbench AI Score
3352
Single Precision Score
6195
Half Precision Score
5035
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:55 PM |
| Views | 5 |
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% |
1264
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
2455
456.5 IPS |
|
|
Image Classification (Q)
|
96% |
1710
319.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2712
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6039
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14980
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12761
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.5 IPS |
|
|
Object Detection (HP)
|
97% |
2754
219.3 IPS |
|
|
Object Detection (Q)
|
94% |
2009
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
5744
68.2 IPS |
|
|
Face Detection (Q)
|
100% |
3387
40.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5178
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10736
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7648
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17298
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28822
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23890
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3656
135.0 IPS |
|
|
Text Classification (SP)
|
99% |
3989
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6304
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6325
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6236
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6163
106.5 IPS |
