MacBook Air (2022)
Geekbench AI Score
3307
Single Precision Score
27000
Half Precision Score
29556
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 27 2026 12:15 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1299
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
14654
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15742
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19510
316.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24110
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6257
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
106804
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105576
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
99% |
15789
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17375
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33514
398.2 IPS |
|
|
Face Detection (Q)
|
100% |
43286
514.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5394
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88963
685.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
106964
835.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18078
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203517
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190557
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42346
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48196
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3902
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4404
76.1 IPS |
