MacBook Air (2022)
Geekbench AI Score
3338
Single Precision Score
27839
Half Precision Score
30779
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 09:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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 | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.5 IPS |
|
|
Image Classification (HP)
|
100% |
13744
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
15205
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19443
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24434
396.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
105385
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105176
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.8 IPS |
|
|
Object Detection (HP)
|
99% |
15763
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17673
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34494
409.9 IPS |
|
|
Face Detection (Q)
|
100% |
46474
552.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5132
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86106
663.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110205
862.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17067
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205233
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188368
243.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3596
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41764
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44131
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4109
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
6349
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6459
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4018
69.4 IPS |
