MacBook Air (2022)
Geekbench AI Score
3278
Single Precision Score
27555
Half Precision Score
30890
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:10 AM |
| 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
14357
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
15427
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18444
299.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23103
374.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5371
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
101897
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105224
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
99% |
15785
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17881
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34143
405.7 IPS |
|
|
Face Detection (Q)
|
100% |
46535
552.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5201
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86013
662.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111376
871.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17077
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205791
264.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192728
248.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3629
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41460
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48680
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4058
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6288
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6220
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3761
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3901
67.4 IPS |
