MacBook Air (2022)
Geekbench AI Score
3380
Single Precision Score
28042
Half Precision Score
30842
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 11:14 AM |
| Views | 13 |
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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
14126
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
15133
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19394
314.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24475
396.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6058
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
106796
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106955
125.4 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
15980
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17151
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
34403
408.8 IPS |
|
|
Face Detection (Q)
|
100% |
46148
548.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5200
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86268
664.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
111478
872.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17399
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203734
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
188855
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3568
131.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42273
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45622
1.68 KIPS |
|
|
Text Classification (SP)
|
99% |
4026
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6359
8.49 KIPS |
|
|
Text Classification (Q)
|
92% |
6238
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3957
68.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4147
71.7 IPS |
