MacBook Air (2022)
Geekbench AI Score
3082
Single Precision Score
27168
Half Precision Score
30311
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:30 PM |
| 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 | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
13886
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
14941
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17133
277.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21696
351.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4819
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
97976
114.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102350
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
960
76.2 IPS |
|
|
Object Detection (HP)
|
99% |
15505
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
17032
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
34479
409.7 IPS |
|
|
Face Detection (Q)
|
100% |
44535
529.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5000
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85899
661.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110958
868.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16833
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
205045
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191277
246.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3578
132.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41563
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49391
1.82 KIPS |
|
|
Text Classification (SP)
|
99% |
4115
5.49 KIPS |
|
|
Text Classification (HP)
|
99% |
6379
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6312
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3932
68.0 IPS |
