MacBook Air (2022)
Geekbench AI Score
3435
Single Precision Score
5967
Half Precision Score
4826
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 04:30 AM |
| Views | 3 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
2493
463.6 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2832
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6835
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14899
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12839
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.4 IPS |
|
|
Object Detection (HP)
|
97% |
2848
226.8 IPS |
|
|
Object Detection (Q)
|
94% |
2063
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3461
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5609
43.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11596
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8020
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18638
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28122
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23961
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3567
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3769
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5881
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5847
101.0 IPS |
