MacBook Air (2022)
Geekbench AI Score
3448
Single Precision Score
5924
Half Precision Score
5192
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 03 2024 11:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
2480
461.2 IPS |
|
|
Image Classification (Q)
|
99% |
2476
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2450
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6878
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14964
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12827
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
97% |
2858
227.5 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
5904
70.2 IPS |
|
|
Face Detection (Q)
|
100% |
3495
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11661
90.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
11648
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18664
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28930
37.2 IPS |
|
|
Style Transfer (Q)
|
100% |
28458
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4131
152.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3522
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3683
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5768
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5921
102.3 IPS |
