MacBook Air (2022)
Geekbench AI Score
3377
Single Precision Score
26636
Half Precision Score
30867
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:01 PM |
| Views | 10 |
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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
13619
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15794
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18710
303.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24568
398.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6079
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
104210
121.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103414
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1377
109.3 IPS |
|
|
Object Detection (HP)
|
99% |
15902
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17277
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34375
408.4 IPS |
|
|
Face Detection (Q)
|
100% |
47211
561.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5217
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
76316
588.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
112399
879.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17320
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201894
259.5 IPS |
|
|
Style Transfer (Q)
|
96% |
187459
241.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3621
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41683
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44614
1.65 KIPS |
|
|
Text Classification (SP)
|
99% |
3989
5.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6301
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6212
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3061
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4108
71.0 IPS |
