MacBook Air (2022)
Geekbench AI Score
3448
Single Precision Score
5951
Half Precision Score
4851
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | a0545 |
| Upload Date | January 05 2025 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2866
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14911
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12892
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2857
227.5 IPS |
|
|
Object Detection (Q)
|
94% |
2071
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3093
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3530
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11634
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8052
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18641
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28541
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23817
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3573
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3766
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3762
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5784
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5880
101.6 IPS |
