MacBook Air (2022)
Geekbench AI Score
3340
Single Precision Score
27803
Half Precision Score
31128
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 03:52 PM |
| Views | 8 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
13854
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15557
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19438
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24117
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6026
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105873
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104611
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (HP)
|
99% |
15629
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17743
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2926
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
34667
411.9 IPS |
|
|
Face Detection (Q)
|
100% |
46550
553.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5191
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85731
660.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
111055
868.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17247
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201672
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
188562
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41763
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48680
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
4016
5.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6363
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6359
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3890
67.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4065
70.2 IPS |
