MacBook Air (2022)
Geekbench AI Score
3214
Single Precision Score
4700
Half Precision Score
4063
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 30 2024 02:48 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
1510
280.8 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.8 IPS |
|
|
Image Classification (Q)
|
96% |
1442
269.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1855
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14464
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12623
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1594
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2255
179.5 IPS |
|
|
Object Detection (Q)
|
94% |
1733
138.1 IPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4358
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
2844
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5365
41.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8589
66.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6468
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17249
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26992
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22618
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3606
133.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3531
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3130
4.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4741
81.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4567
78.9 IPS |
