MacBook Air (2022)
Geekbench AI Score
3428
Single Precision Score
22350
Half Precision Score
24673
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | cheltenham |
| Upload Date | September 09 2024 02:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
12659
2.35 KIPS |
|
|
Image Classification (Q)
|
96% |
14335
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9711
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10931
177.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6833
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
103091
120.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104416
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
99% |
15426
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17340
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33653
399.9 IPS |
|
|
Face Detection (Q)
|
100% |
42585
506.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5620
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87196
671.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108224
845.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18668
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154113
198.1 IPS |
|
|
Style Transfer (Q)
|
96% |
151917
196.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40057
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48094
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3663
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3627
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2398
41.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2413
41.7 IPS |
