MacBook Air (2022)
Geekbench AI Score
2544
Single Precision Score
24542
Half Precision Score
22381
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 04:07 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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1197
222.6 IPS |
|
|
Image Classification (HP)
|
100% |
13815
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15759
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19137
310.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23952
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5383
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
85959
100.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
82720
97.0 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
15582
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
8329
666.8 IPS |
|
|
Face Detection (SP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
33959
403.5 IPS |
|
|
Face Detection (Q)
|
100% |
34699
412.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2910
22.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
80469
620.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47265
369.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12307
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
198727
255.5 IPS |
|
|
Style Transfer (Q)
|
96% |
170222
219.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3539
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19803
731.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22562
833.1 IPS |
|
|
Text Classification (SP)
|
99% |
1393
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6643
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2899
50.1 IPS |
