MacBook Air (2022)
Geekbench AI Score
1801
Single Precision Score
18036
Half Precision Score
21191
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:33 PM |
| Views | 5 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1154
214.6 IPS |
|
|
Image Classification (HP)
|
100% |
13481
2.51 KIPS |
|
|
Image Classification (Q)
|
97% |
12276
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
793
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11301
183.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16345
265.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2254
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
39299
45.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
44260
51.9 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
99% |
10659
847.9 IPS |
|
|
Object Detection (Q)
|
89% |
11105
889.0 IPS |
|
|
Face Detection (SP)
|
100% |
641
7.62 IPS |
|
|
Face Detection (HP)
|
100% |
13252
157.5 IPS |
|
|
Face Detection (Q)
|
100% |
20391
242.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2658
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55364
426.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
81625
638.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13461
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
138371
177.9 IPS |
|
|
Style Transfer (Q)
|
96% |
168386
217.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31671
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33618
1.24 KIPS |
|
|
Text Classification (SP)
|
99% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6146
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3198
55.3 IPS |
