MacBook Air (2022)
Geekbench AI Score
6392
Single Precision Score
7122
Half Precision Score
6643
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | mark6845 |
| Upload Date | August 27 2025 11:27 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
3346
622.3 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.3 IPS |
|
|
Image Classification (Q)
|
96% |
3094
577.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4822
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4922
79.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4701
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19903
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
22002
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21321
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3245
257.4 IPS |
|
|
Object Detection (HP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (Q)
|
92% |
2905
231.9 IPS |
|
|
Face Detection (SP)
|
100% |
9221
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
10417
123.8 IPS |
|
|
Face Detection (Q)
|
100% |
8626
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13644
105.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15182
117.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
13944
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
36134
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40772
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39705
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7798
287.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8531
315.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7228
266.9 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3876
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1330
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1390
24.0 IPS |
