MacBook Air (2022)
Geekbench AI Score
2651
Single Precision Score
23091
Half Precision Score
25470
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:51 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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1192
221.6 IPS |
|
|
Image Classification (HP)
|
100% |
13498
2.51 KIPS |
|
|
Image Classification (Q)
|
97% |
15379
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17773
288.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22326
361.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5798
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
62371
72.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
73203
85.8 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.3 IPS |
|
|
Object Detection (HP)
|
99% |
13963
1.11 KIPS |
|
|
Object Detection (Q)
|
89% |
17039
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
23335
277.3 IPS |
|
|
Face Detection (Q)
|
100% |
34104
405.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4466
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
80112
617.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
80239
627.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11249
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
155653
200.1 IPS |
|
|
Style Transfer (Q)
|
96% |
153823
198.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3581
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38100
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41932
1.55 KIPS |
|
|
Text Classification (SP)
|
99% |
3664
4.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6444
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2893
49.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2359
40.8 IPS |
