MacBook Air (2022)
Geekbench AI Score
3093
Single Precision Score
26930
Half Precision Score
29607
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 05:28 AM |
| Views | 8 |
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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
12844
2.39 KIPS |
|
|
Image Classification (Q)
|
97% |
15165
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17886
289.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23847
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5641
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
105385
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
98676
115.7 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
99% |
13754
1.09 KIPS |
|
|
Object Detection (Q)
|
89% |
15213
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
2546
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
34336
408.0 IPS |
|
|
Face Detection (Q)
|
100% |
42511
505.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4750
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85902
661.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
104300
815.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16339
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203213
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
181406
234.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41989
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46941
1.73 KIPS |
|
|
Text Classification (SP)
|
99% |
4071
5.43 KIPS |
|
|
Text Classification (HP)
|
100% |
6282
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6516
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3811
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3876
67.0 IPS |
