MacBook Air (2022)
Geekbench AI Score
998
Single Precision Score
1859
Half Precision Score
1323
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 02:27 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1010
187.9 IPS |
|
|
Image Classification (HP)
|
100% |
1170
217.6 IPS |
|
|
Image Classification (Q)
|
96% |
846
158.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
787
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
924
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2370
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6449
7.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
1255
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (HP)
|
97% |
445
35.4 IPS |
|
|
Object Detection (Q)
|
94% |
328
26.2 IPS |
|
|
Face Detection (SP)
|
100% |
439
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (Q)
|
100% |
514
6.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
861
6.63 IPS |
|
|
Depth Estimation (HP)
|
98% |
1481
11.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
890
6.96 IPS |
|
|
Style Transfer (SP)
|
100% |
1538
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
3813
4.90 IPS |
|
|
Style Transfer (Q)
|
96% |
2965
3.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
732
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2320
85.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2020
74.6 IPS |
|
|
Text Classification (SP)
|
99% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5207
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2799
48.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3352
57.9 IPS |
