MacBook Air (2022)
Geekbench AI Score
5252
Single Precision Score
5387
Half Precision Score
5183
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:07 PM |
| Views | 12 |
| Notes | <3 |
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 | 2.68 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3065
570.0 IPS |
|
|
Image Classification (HP)
|
100% |
2807
522.1 IPS |
|
|
Image Classification (Q)
|
94% |
2798
522.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4434
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4231
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3878
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15949
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16983
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17318
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (Q)
|
91% |
2560
204.6 IPS |
|
|
Face Detection (SP)
|
100% |
8629
102.5 IPS |
|
|
Face Detection (HP)
|
100% |
9240
109.8 IPS |
|
|
Face Detection (Q)
|
100% |
8335
99.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3931
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4312
33.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10932
85.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27191
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26439
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25427
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5993
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4251
157.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1641
60.6 IPS |
|
|
Text Classification (SP)
|
99% |
3905
5.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
92% |
4986
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1424
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2206
38.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1535
26.5 IPS |
