MacBook Air (2022)
Geekbench AI Score
3304
Single Precision Score
27543
Half Precision Score
30869
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 10:07 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.8 IPS |
|
|
Image Classification (HP)
|
100% |
13492
2.51 KIPS |
|
|
Image Classification (Q)
|
97% |
15145
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19310
313.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23996
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5941
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
104710
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104670
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (HP)
|
99% |
15661
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17718
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
34367
408.4 IPS |
|
|
Face Detection (Q)
|
100% |
45930
545.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5102
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86703
668.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
109976
860.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17050
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201331
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
192262
248.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3482
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41297
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48996
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4041
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
6176
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6116
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3326
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3844
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4006
69.2 IPS |
