MacBook Air (2022)
Geekbench AI Score
5628
Single Precision Score
5572
Half Precision Score
4930
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | leofmartins |
| Upload Date | August 16 2024 09:54 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3227
600.1 IPS |
|
|
Image Classification (HP)
|
100% |
3104
577.3 IPS |
|
|
Image Classification (Q)
|
99% |
2887
538.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3640
59.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4225
68.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
4099
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19837
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21216
24.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19138
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
3170
251.4 IPS |
|
|
Object Detection (HP)
|
100% |
3103
246.2 IPS |
|
|
Object Detection (Q)
|
92% |
2445
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
8991
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
9898
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
6747
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13594
104.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14584
112.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
14880
115.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35988
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40098
51.5 IPS |
|
|
Style Transfer (Q)
|
100% |
39282
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7789
287.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8416
310.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6252
231.6 IPS |
|
|
Text Classification (SP)
|
100% |
1256
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
733
978.7 IPS |
|
|
Text Classification (Q)
|
93% |
526
706.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1182
20.4 IPS |
