MacBook Air (2022)
Geekbench AI Score
3471
Single Precision Score
5975
Half Precision Score
4852
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 24 2025 10:26 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.4 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2872
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6869
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14816
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12766
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1562
123.9 IPS |
|
|
Object Detection (HP)
|
97% |
2899
230.8 IPS |
|
|
Object Detection (Q)
|
94% |
2091
166.7 IPS |
|
|
Face Detection (SP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6081
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3562
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5757
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11707
90.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8070
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18651
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28617
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23572
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3631
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3748
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3538
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5756
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5779
99.9 IPS |
