MacBook Air (2022)
Geekbench AI Score
5643
Single Precision Score
6359
Half Precision Score
2041
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | PM974 |
| Upload Date | December 23 2024 08:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
3519
654.5 IPS |
|
|
Image Classification (HP)
|
100% |
3546
659.4 IPS |
|
|
Image Classification (Q)
|
97% |
2643
493.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3880
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4895
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4783
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24221
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26039
30.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
23700
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3495
277.2 IPS |
|
|
Object Detection (HP)
|
100% |
3616
286.8 IPS |
|
|
Object Detection (Q)
|
92% |
2818
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
9700
115.3 IPS |
|
|
Face Detection (HP)
|
100% |
11170
132.7 IPS |
|
|
Face Detection (Q)
|
100% |
7718
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16452
126.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17688
136.3 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
41752
53.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48113
61.8 IPS |
|
|
Style Transfer (Q)
|
96% |
44894
57.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9516
351.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10118
373.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7935
293.0 IPS |
|
|
Text Classification (SP)
|
100% |
533
711.1 IPS |
|
|
Text Classification (HP)
|
100% |
742
990.6 IPS |
|
|
Text Classification (Q)
|
93% |
587
787.4 IPS |
|
|
Machine Translation (SP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
921
15.9 IPS |
