MacBook Air (2022)
Geekbench AI Score
3473
Single Precision Score
5964
Half Precision Score
4826
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | slava-zaxapov |
| Upload Date | March 23 2025 05:58 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2536
471.7 IPS |
|
|
Image Classification (Q)
|
96% |
1762
329.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2849
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6877
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14840
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12752
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2856
227.4 IPS |
|
|
Object Detection (Q)
|
94% |
2065
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6009
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3468
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5744
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11705
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8036
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18667
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28432
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23647
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4853
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3595
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3797
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5803
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5766
99.6 IPS |
