MacBook Air (2022)
Geekbench AI Score
3154
Single Precision Score
27301
Half Precision Score
30510
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:50 AM |
| Views | 9 |
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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1158
215.3 IPS |
|
|
Image Classification (HP)
|
100% |
13562
2.52 KIPS |
|
|
Image Classification (Q)
|
97% |
15195
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18272
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23027
373.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4985
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
103633
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102987
120.7 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
99% |
15396
1.22 KIPS |
|
|
Object Detection (Q)
|
89% |
17424
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2753
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
34149
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
45705
543.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5018
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
86586
667.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109243
854.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16726
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
199479
256.4 IPS |
|
|
Style Transfer (Q)
|
96% |
188735
243.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3551
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41728
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48559
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
4043
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
6477
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3650
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3812
65.9 IPS |
