MacBook Air (2022)
Geekbench AI Score
3330
Single Precision Score
27770
Half Precision Score
31391
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:03 AM |
| Views | 13 |
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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1208
224.6 IPS |
|
|
Image Classification (HP)
|
100% |
14017
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
15450
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18203
295.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23659
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5980
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
105026
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106284
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1361
107.9 IPS |
|
|
Object Detection (HP)
|
99% |
15713
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
18207
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2847
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
34631
411.5 IPS |
|
|
Face Detection (Q)
|
100% |
46787
555.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5194
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87015
670.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
111496
872.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17361
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204713
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
193438
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42227
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49670
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4084
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6455
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4061
70.2 IPS |
