MacBook Air (2022)
Geekbench AI Score
3323
Single Precision Score
27713
Half Precision Score
30919
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:09 PM |
| Views | 11 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.0 IPS |
|
|
Image Classification (HP)
|
100% |
14136
2.63 KIPS |
|
|
Image Classification (Q)
|
97% |
15956
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1344
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18712
303.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23382
379.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5937
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
106686
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105554
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
99% |
15591
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
18060
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
34303
407.6 IPS |
|
|
Face Detection (Q)
|
100% |
46340
550.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5123
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85837
661.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109630
857.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17160
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200619
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
190115
245.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41684
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45213
1.67 KIPS |
|
|
Text Classification (SP)
|
99% |
4021
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3840
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4052
70.0 IPS |
