MacBook Air (2022)
Geekbench AI Score
2949
Single Precision Score
24770
Half Precision Score
28666
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 01:38 PM |
| 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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1235
229.7 IPS |
|
|
Image Classification (HP)
|
100% |
13666
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
15555
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18492
299.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22897
371.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5935
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
99274
115.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
98779
115.8 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
99% |
15485
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17547
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2757
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
34136
405.6 IPS |
|
|
Face Detection (Q)
|
100% |
43464
516.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3481
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
73119
563.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111007
868.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13209
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
183521
235.9 IPS |
|
|
Style Transfer (Q)
|
96% |
191111
246.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41631
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51265
1.89 KIPS |
|
|
Text Classification (SP)
|
99% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5274
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5003
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2567
44.4 IPS |
