MacBook Air (2022)
Geekbench AI Score
3257
Single Precision Score
27340
Half Precision Score
30545
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:08 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 | 3.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1191
221.4 IPS |
|
|
Image Classification (HP)
|
100% |
13781
2.56 KIPS |
|
|
Image Classification (Q)
|
97% |
15052
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18948
307.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23987
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6031
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
104704
122.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105894
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.9 IPS |
|
|
Object Detection (HP)
|
99% |
15542
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17416
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
34500
409.9 IPS |
|
|
Face Detection (Q)
|
100% |
46423
551.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5098
39.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86075
663.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109846
859.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16930
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202919
260.9 IPS |
|
|
Style Transfer (Q)
|
96% |
184456
238.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3434
126.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41031
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49213
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3989
5.32 KIPS |
|
|
Text Classification (HP)
|
100% |
6106
8.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6093
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3765
65.1 IPS |
