MacBook Air (2022)
Geekbench AI Score
3237
Single Precision Score
27339
Half Precision Score
30441
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 04:32 PM |
| Views | 7 |
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% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
13599
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15018
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18659
302.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23643
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5928
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
105498
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105176
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
99% |
15619
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17645
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2678
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
33992
403.9 IPS |
|
|
Face Detection (Q)
|
100% |
47028
558.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5145
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83164
640.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
104552
817.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16252
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202344
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
184062
237.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3502
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40986
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46275
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
92% |
6129
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3344
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4041
69.8 IPS |
