MacBook Air (2022)
Geekbench AI Score
3367
Single Precision Score
27643
Half Precision Score
28744
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 12:55 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
14291
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
15960
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19323
313.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24440
396.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105712
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104528
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
99% |
16109
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
16387
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
34207
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
46821
556.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5201
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
81432
627.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111253
870.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17361
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
194344
249.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191493
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41470
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46441
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6245
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3020
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4120
71.2 IPS |
