MacBook Air (2022)
Geekbench AI Score
6503
Single Precision Score
7140
Half Precision Score
6767
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Egon2016 |
| Upload Date | August 06 2025 12:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3426
637.1 IPS |
|
|
Image Classification (HP)
|
100% |
3288
611.5 IPS |
|
|
Image Classification (Q)
|
96% |
3006
561.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4854
78.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4975
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4729
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19915
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22080
25.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
21497
25.2 IPS |
|
|
Object Detection (SP)
|
100% |
3293
261.2 IPS |
|
|
Object Detection (HP)
|
100% |
3317
263.1 IPS |
|
|
Object Detection (Q)
|
92% |
3050
243.5 IPS |
|
|
Face Detection (SP)
|
100% |
8960
106.5 IPS |
|
|
Face Detection (HP)
|
100% |
10378
123.3 IPS |
|
|
Face Detection (Q)
|
100% |
8764
104.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13718
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15502
119.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
14502
113.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36375
46.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40816
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39831
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7951
293.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8527
314.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7399
273.2 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1472
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1476
25.5 IPS |
