MacBook Air (2022)
Geekbench AI Score
3233
Single Precision Score
4778
Half Precision Score
3969
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| Upload Date | August 15 2024 07:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.2 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.6 IPS |
|
|
Image Classification (Q)
|
99% |
1918
357.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1304
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1304
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6104
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14555
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12427
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2300
183.1 IPS |
|
|
Object Detection (Q)
|
94% |
1750
139.5 IPS |
|
|
Face Detection (SP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
4427
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
2885
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5355
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8640
66.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4339
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17225
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27047
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
27116
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3542
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3239
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4523
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4591
79.3 IPS |
