MacBook Air (2022)
Geekbench AI Score
2261
Single Precision Score
3785
Half Precision Score
3272
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | December 04 2024 06:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
879
163.5 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (Q)
|
99% |
1523
284.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1021
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1574
25.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1601
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4125
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
9310
10.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
7869
9.22 IPS |
|
|
Object Detection (SP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (HP)
|
97% |
1794
142.8 IPS |
|
|
Object Detection (Q)
|
94% |
1267
101.0 IPS |
|
|
Face Detection (SP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
3907
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
2141
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3596
27.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7335
56.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
7335
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11716
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17708
22.8 IPS |
|
|
Style Transfer (Q)
|
100% |
17687
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2624
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3117
115.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2217
82.1 IPS |
|
|
Text Classification (SP)
|
100% |
1532
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2388
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2519
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3939
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3941
68.1 IPS |
