MacBook Air (2022)
Geekbench AI Score
3448
Single Precision Score
24537
Half Precision Score
27101
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 28 2024 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.7 IPS |
|
|
Image Classification (HP)
|
100% |
14650
2.72 KIPS |
|
|
Image Classification (Q)
|
99% |
15281
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14580
236.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
15531
251.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6867
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
99020
115.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
100858
118.3 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (HP)
|
99% |
14797
1.18 KIPS |
|
|
Object Detection (Q)
|
91% |
17059
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
35180
418.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
75193
579.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
81594
630.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18650
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
153972
197.9 IPS |
|
|
Style Transfer (Q)
|
100% |
154655
198.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4021
148.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39672
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
47294
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6353
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6684
115.5 IPS |
