MacBook Air (2022)
Geekbench AI Score
3461
Single Precision Score
5943
Half Precision Score
4815
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | myrmek |
| Upload Date | November 03 2024 10:49 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% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2538
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2851
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14836
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12770
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
97% |
2848
226.8 IPS |
|
|
Object Detection (Q)
|
94% |
2057
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6012
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3500
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5699
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11634
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8018
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18699
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28429
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23652
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4092
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3549
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3738
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5787
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5735
99.1 IPS |
