MacBook Air (2022)
Geekbench AI Score
1891
Single Precision Score
11732
Half Precision Score
12212
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Horizontal42 |
| Upload Date | August 18 2024 09:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
865
160.8 IPS |
|
|
Image Classification (HP)
|
100% |
6778
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
7286
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
556
9.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
4681
75.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4675
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5146
6.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
87053
101.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
89262
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
99% |
8433
670.9 IPS |
|
|
Object Detection (Q)
|
93% |
8849
706.0 IPS |
|
|
Face Detection (SP)
|
100% |
2113
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
11623
138.1 IPS |
|
|
Face Detection (Q)
|
100% |
13463
160.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3872
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50641
390.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
54933
424.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10622
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
139753
179.7 IPS |
|
|
Style Transfer (Q)
|
100% |
140751
180.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19513
720.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25747
953.9 IPS |
|
|
Text Classification (SP)
|
100% |
474
633.2 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.1 IPS |
|
|
Text Classification (Q)
|
93% |
539
723.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2386
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1898
32.8 IPS |
