MacBook Air (2022)
Geekbench AI Score
6449
Single Precision Score
7178
Half Precision Score
6622
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | LeanderAI |
| Upload Date | November 29 2025 03:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3440
639.7 IPS |
|
|
Image Classification (HP)
|
100% |
3439
639.5 IPS |
|
|
Image Classification (Q)
|
96% |
3085
576.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4865
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4966
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4755
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19943
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22003
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21404
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (HP)
|
100% |
3166
251.2 IPS |
|
|
Object Detection (Q)
|
92% |
2966
236.8 IPS |
|
|
Face Detection (SP)
|
100% |
9419
111.9 IPS |
|
|
Face Detection (HP)
|
100% |
10505
124.8 IPS |
|
|
Face Detection (Q)
|
100% |
8733
103.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13859
106.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15499
119.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13976
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36215
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40769
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39681
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7907
292.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8475
312.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7279
268.8 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3802
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1300
22.5 IPS |
