MacBook Air (2022)
Geekbench AI Score
6405
Single Precision Score
6987
Half Precision Score
6501
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | z1phos |
| Upload Date | April 26 2025 12:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
3317
616.8 IPS |
|
|
Image Classification (HP)
|
100% |
3186
592.6 IPS |
|
|
Image Classification (Q)
|
96% |
2962
553.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4810
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4888
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4683
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19917
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21310
24.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
20642
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
3221
255.5 IPS |
|
|
Object Detection (HP)
|
100% |
3224
255.8 IPS |
|
|
Object Detection (Q)
|
92% |
2901
231.6 IPS |
|
|
Face Detection (SP)
|
100% |
9321
110.8 IPS |
|
|
Face Detection (HP)
|
100% |
10354
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
8538
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13665
105.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14562
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13247
103.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36347
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
40246
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39110
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7827
289.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8338
307.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7116
262.8 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4034
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1280
22.1 IPS |
