MacBook Air (2022)
Geekbench AI Score
3460
Single Precision Score
5958
Half Precision Score
4843
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JulioSanchezD |
| Upload Date | January 21 2025 02:57 PM |
| Views | 3 |
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 | 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.5 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2877
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6801
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
14777
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12796
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2899
230.8 IPS |
|
|
Object Detection (Q)
|
94% |
2096
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
3108
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5989
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3525
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11680
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8036
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18720
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28520
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23807
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3574
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5834
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5773
99.8 IPS |
