MacBook Air (2022)
Geekbench AI Score
3340
Single Precision Score
27612
Half Precision Score
30619
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 06:10 AM |
| Views | 5 |
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% |
1264
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
13720
2.55 KIPS |
|
|
Image Classification (Q)
|
97% |
15757
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18480
299.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23218
376.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5975
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
104302
121.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
98892
115.9 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
99% |
15733
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17100
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
34854
414.1 IPS |
|
|
Face Detection (Q)
|
100% |
46545
553.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5148
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83690
644.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
112563
880.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17298
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
199442
256.4 IPS |
|
|
Style Transfer (Q)
|
96% |
183630
237.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42015
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47789
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6348
8.47 KIPS |
|
|
Text Classification (Q)
|
92% |
6182
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3992
68.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4120
71.2 IPS |
