MacBook Air (2022)
Geekbench AI Score
3349
Single Precision Score
27621
Half Precision Score
31061
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 09:24 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 | 3.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1269
236.0 IPS |
|
|
Image Classification (HP)
|
100% |
13942
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15042
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19395
314.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24480
396.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6021
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
106129
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105250
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1369
108.6 IPS |
|
|
Object Detection (HP)
|
99% |
15919
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17181
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2923
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34222
406.6 IPS |
|
|
Face Detection (Q)
|
100% |
45073
535.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5188
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85539
659.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
112789
882.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17297
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203494
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
192741
248.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3419
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43090
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49073
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (HP)
|
99% |
6426
8.58 KIPS |
|
|
Text Classification (Q)
|
92% |
6418
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4068
70.3 IPS |
