MacBook Air (2022)
Geekbench AI Score
3419
Single Precision Score
5919
Half Precision Score
4816
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 11:55 AM |
| Views | 2 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2482
461.5 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2826
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6732
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
14908
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12809
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
97% |
2841
226.2 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6042
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5704
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11610
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8021
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18100
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28438
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23498
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3593
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3723
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3707
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3562
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5676
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5901
102.0 IPS |
