MacBook Air (2022)
Geekbench AI Score
2282
Single Precision Score
18492
Half Precision Score
21299
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:20 PM |
| Views | 6 |
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 | 3.28 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1128
209.7 IPS |
|
|
Image Classification (HP)
|
100% |
8607
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
4880
910.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
12747
206.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21446
347.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2998
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
62184
72.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
87335
102.4 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
99% |
12295
978.0 IPS |
|
|
Object Detection (Q)
|
89% |
11307
905.1 IPS |
|
|
Face Detection (SP)
|
100% |
1610
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
20070
238.5 IPS |
|
|
Face Detection (Q)
|
100% |
27769
330.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3655
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
71134
548.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
75619
591.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11664
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
127332
163.7 IPS |
|
|
Style Transfer (Q)
|
96% |
153289
197.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3074
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29814
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41865
1.55 KIPS |
|
|
Text Classification (SP)
|
99% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
5013
6.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2052
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2494
43.1 IPS |
