MacBook Air (2022)
Geekbench AI Score
3319
Single Precision Score
27498
Half Precision Score
30597
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:57 PM |
| Views | 10 |
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% |
1137
211.5 IPS |
|
|
Image Classification (HP)
|
100% |
13937
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15962
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19434
315.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23616
382.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6028
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
105499
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
98693
115.7 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
99% |
15919
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17108
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2875
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
34639
411.6 IPS |
|
|
Face Detection (Q)
|
100% |
46617
553.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5158
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83181
640.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
112212
877.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17167
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
194413
249.9 IPS |
|
|
Style Transfer (Q)
|
96% |
183671
237.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41417
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48776
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4010
5.35 KIPS |
|
|
Text Classification (HP)
|
100% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5960
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3428
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3821
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4046
69.9 IPS |
