MacBook Air (2022)
Geekbench AI Score
3333
Single Precision Score
27260
Half Precision Score
31206
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:36 PM |
| Views | 12 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
13942
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15989
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18650
302.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24413
395.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6045
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
103953
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104596
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
99% |
16000
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17954
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
34987
415.7 IPS |
|
|
Face Detection (Q)
|
100% |
47178
560.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5265
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83064
640.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110816
866.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17566
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
183784
236.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189539
244.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3599
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40193
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45444
1.68 KIPS |
|
|
Text Classification (SP)
|
99% |
4000
5.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6185
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6435
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4124
71.3 IPS |
