MacBook Air M2 MacBook Air (2022)
Geekbench AI Score
1981
Single Precision Score
11959
Half Precision Score
12581
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jiashu |
| Upload Date | August 17 2024 04:24 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1152
214.2 IPS |
|
|
Image Classification (HP)
|
100% |
7693
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
7998
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5113
82.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
5101
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5941
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
88701
103.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
87394
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
1260
99.9 IPS |
|
|
Object Detection (HP)
|
99% |
8533
678.8 IPS |
|
|
Object Detection (Q)
|
93% |
9036
721.0 IPS |
|
|
Face Detection (SP)
|
100% |
2119
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
11106
132.0 IPS |
|
|
Face Detection (Q)
|
100% |
12302
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3705
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50665
390.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
55355
428.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10523
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
138996
178.7 IPS |
|
|
Style Transfer (Q)
|
100% |
137597
176.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19862
733.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24920
923.3 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.0 IPS |
|
|
Text Classification (HP)
|
100% |
535
714.0 IPS |
|
|
Text Classification (Q)
|
93% |
533
714.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2478
42.8 IPS |
