MacBook Air (2022)
Geekbench AI Score
3281
Single Precision Score
27586
Half Precision Score
31100
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 06:31 AM |
| Views | 7 |
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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1247
231.9 IPS |
|
|
Image Classification (HP)
|
100% |
13328
2.48 KIPS |
|
|
Image Classification (Q)
|
97% |
15372
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19244
312.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24365
395.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5888
6.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
105852
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106184
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
99% |
15921
1.27 KIPS |
|
|
Object Detection (Q)
|
89% |
17761
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2819
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
34431
409.1 IPS |
|
|
Face Detection (Q)
|
100% |
46279
549.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5046
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86315
665.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110382
863.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16778
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203760
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193111
249.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3532
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41531
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50072
1.85 KIPS |
|
|
Text Classification (SP)
|
99% |
3956
5.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6087
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6115
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3968
68.6 IPS |
