MacBook Air (2022)
Geekbench AI Score
1576
Single Precision Score
17993
Half Precision Score
20293
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:37 PM |
| Views | 4 |
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% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
13943
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15312
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18893
306.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22929
371.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5537
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
104591
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102933
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (HP)
|
99% |
4547
361.7 IPS |
|
|
Object Detection (Q)
|
89% |
3449
276.1 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (HP)
|
100% |
20397
242.4 IPS |
|
|
Face Detection (Q)
|
100% |
27077
321.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1725
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
58510
450.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
71591
560.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5643
7.25 IPS |
|
|
Style Transfer (HP)
|
100% |
120865
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
129740
167.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26804
989.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33808
1.25 KIPS |
|
|
Text Classification (SP)
|
99% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1913
33.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2800
48.4 IPS |
