MacBook Air (2022)
Geekbench AI Score
3274
Single Precision Score
27233
Half Precision Score
30891
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:00 AM |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1224
227.6 IPS |
|
|
Image Classification (HP)
|
100% |
12708
2.36 KIPS |
|
|
Image Classification (Q)
|
97% |
15213
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1328
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18842
305.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23637
383.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5883
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
106075
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105599
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
15748
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17233
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
34402
408.8 IPS |
|
|
Face Detection (Q)
|
100% |
45824
544.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5102
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85876
661.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109774
858.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17162
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202575
260.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189991
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3649
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41879
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49132
1.81 KIPS |
|
|
Text Classification (SP)
|
99% |
4132
5.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6497
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6451
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3446
59.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3993
69.0 IPS |
