MacBook Air (2022)
Geekbench AI Score
3306
Single Precision Score
26692
Half Precision Score
29545
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
15279
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
15332
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19716
319.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24110
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6283
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
102873
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106718
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
99% |
15818
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17335
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33683
400.2 IPS |
|
|
Face Detection (Q)
|
100% |
43589
517.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5429
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87625
675.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108127
845.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18036
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201874
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190303
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37745
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48323
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3881
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4235
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4406
76.1 IPS |
