MacBook Air (2022)
Geekbench AI Score
6665
Single Precision Score
7336
Half Precision Score
5676
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 28 2024 08:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3609
671.1 IPS |
|
|
Image Classification (HP)
|
100% |
3655
679.8 IPS |
|
|
Image Classification (Q)
|
99% |
3620
675.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4036
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5020
81.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4959
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24626
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26283
30.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
24093
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3462
274.6 IPS |
|
|
Object Detection (HP)
|
100% |
3694
293.0 IPS |
|
|
Object Detection (Q)
|
91% |
3044
243.2 IPS |
|
|
Face Detection (SP)
|
100% |
10426
123.9 IPS |
|
|
Face Detection (HP)
|
100% |
11786
140.0 IPS |
|
|
Face Detection (Q)
|
100% |
8373
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16675
128.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17980
138.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
2785
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42883
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48565
62.4 IPS |
|
|
Style Transfer (Q)
|
100% |
48454
62.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9954
367.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10109
373.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7731
286.4 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
811
14.0 IPS |
