MacBook Air (2022)
Geekbench AI Score
2228
Single Precision Score
3722
Half Precision Score
2967
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 02:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
882
164.0 IPS |
|
|
Image Classification (HP)
|
100% |
1516
281.9 IPS |
|
|
Image Classification (Q)
|
96% |
1022
190.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1720
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4305
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
9032
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
7995
9.37 IPS |
|
|
Object Detection (SP)
|
100% |
1000
79.3 IPS |
|
|
Object Detection (HP)
|
97% |
1796
143.0 IPS |
|
|
Object Detection (Q)
|
94% |
1264
100.7 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3700
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
2129
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3627
27.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7344
56.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4760
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11576
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17631
22.7 IPS |
|
|
Style Transfer (Q)
|
96% |
14599
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2645
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3111
114.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2255
83.3 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2390
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2529
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3705
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3738
64.6 IPS |
