MacBook Air (2022)
Geekbench AI Score
3325
Single Precision Score
27551
Half Precision Score
30945
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 03:06 PM |
| Views | 11 |
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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
14074
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
15432
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18513
300.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23772
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5883
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
104588
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104753
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
15662
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17071
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
34227
406.7 IPS |
|
|
Face Detection (Q)
|
100% |
46190
548.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5188
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86296
664.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
110422
863.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17189
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200586
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
186932
241.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3557
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39841
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49555
1.83 KIPS |
|
|
Text Classification (SP)
|
99% |
4061
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6360
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3326
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4086
70.6 IPS |
