MacBook Air (2022)
Geekbench AI Score
3070
Single Precision Score
27717
Half Precision Score
30799
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:03 AM |
| 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 | 3.47 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
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
13585
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15494
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19055
308.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23929
387.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4946
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
107012
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106087
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (HP)
|
99% |
16273
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
18248
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2772
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
34313
407.7 IPS |
|
|
Face Detection (Q)
|
100% |
45828
544.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4918
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
88472
681.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
111439
871.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16456
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202526
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
192781
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3514
129.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41529
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46764
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
6220
8.30 KIPS |
|
|
Text Classification (Q)
|
92% |
6156
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3776
65.3 IPS |
