MacBook Air (2022)
Geekbench AI Score
2386
Single Precision Score
22335
Half Precision Score
24664
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:53 PM |
| Views | 9 |
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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1234
229.5 IPS |
|
|
Image Classification (HP)
|
100% |
13883
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15243
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19231
311.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23996
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5877
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
98497
114.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105135
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
99% |
14054
1.12 KIPS |
|
|
Object Detection (Q)
|
89% |
17422
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2024
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
21570
256.3 IPS |
|
|
Face Detection (Q)
|
100% |
25812
306.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2489
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
73781
568.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
71183
556.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10769
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
201393
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
138414
178.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23704
875.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29049
1.07 KIPS |
|
|
Text Classification (SP)
|
99% |
1980
2.64 KIPS |
|
|
Text Classification (HP)
|
99% |
4521
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6110
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2271
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2434
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2755
47.6 IPS |
