MacBook Air (2022)
Geekbench AI Score
3149
Single Precision Score
27327
Half Precision Score
30739
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:08 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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1156
214.9 IPS |
|
|
Image Classification (HP)
|
100% |
13640
2.54 KIPS |
|
|
Image Classification (Q)
|
97% |
15652
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17435
282.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
22059
357.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5373
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
101462
118.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103285
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
1199
95.1 IPS |
|
|
Object Detection (HP)
|
99% |
15727
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
16722
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
33321
395.9 IPS |
|
|
Face Detection (Q)
|
100% |
46713
555.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5121
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87298
672.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
111122
869.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15914
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
203419
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
193281
249.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3503
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42728
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50241
1.86 KIPS |
|
|
Text Classification (SP)
|
99% |
4116
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
6187
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6347
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3948
68.2 IPS |
