MacBook Air (2022)
Geekbench AI Score
3487
Single Precision Score
6028
Half Precision Score
4866
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | December 27 2024 10:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2557
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2871
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6900
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14957
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12930
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2897
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2097
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
3211
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6178
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3551
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5774
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11721
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8078
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18785
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28530
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23945
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4897
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3599
132.9 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3756
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3762
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5958
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5801
100.3 IPS |
