MacBook Air (2022)
Geekbench AI Score
3371
Single Precision Score
27832
Half Precision Score
31027
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:38 PM |
| Views | 12 |
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% |
1247
231.9 IPS |
|
|
Image Classification (HP)
|
100% |
14046
2.61 KIPS |
|
|
Image Classification (Q)
|
97% |
15392
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19292
312.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24418
395.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6040
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
106743
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106501
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
99% |
15853
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18492
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
2932
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
33535
398.5 IPS |
|
|
Face Detection (Q)
|
100% |
45243
537.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5174
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87528
674.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
111781
874.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17375
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201434
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189045
244.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41304
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49457
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
3984
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
6320
8.44 KIPS |
|
|
Text Classification (Q)
|
92% |
6315
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3741
64.6 IPS |
