MacBook Air (2022)
Geekbench AI Score
2989
Single Precision Score
26713
Half Precision Score
29586
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:58 PM |
| 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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
13083
2.43 KIPS |
|
|
Image Classification (Q)
|
97% |
15621
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19328
313.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24194
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5981
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
84647
98.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103368
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
16166
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
14107
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
2898
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
34684
412.1 IPS |
|
|
Face Detection (Q)
|
100% |
46748
555.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80599
621.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111244
870.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17388
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
194007
249.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194011
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40492
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34864
1.29 KIPS |
|
|
Text Classification (SP)
|
99% |
1247
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6152
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6388
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3454
59.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4150
71.7 IPS |
