MacBook Air (2022)
Geekbench AI Score
3108
Single Precision Score
27047
Half Precision Score
29783
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 12:28 PM |
| Views | 5 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1197
222.7 IPS |
|
|
Image Classification (HP)
|
100% |
13833
2.57 KIPS |
|
|
Image Classification (Q)
|
97% |
15227
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19099
309.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24027
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5449
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
103978
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104899
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1067
84.7 IPS |
|
|
Object Detection (HP)
|
99% |
15646
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
18022
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2647
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
29791
354.0 IPS |
|
|
Face Detection (Q)
|
100% |
37431
444.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4647
35.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84713
652.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
108880
851.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16036
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202179
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
191082
246.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3524
130.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42491
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49716
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4039
5.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6242
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3602
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3232
55.9 IPS |
