MacBook Air (2022)
Geekbench AI Score
3217
Single Precision Score
23949
Half Precision Score
26275
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | April 04 2025 07:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
14072
2.62 KIPS |
|
|
Image Classification (Q)
|
99% |
15271
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15537
251.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
15833
256.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
101718
118.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
102378
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (HP)
|
99% |
15044
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17857
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2806
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
22875
271.8 IPS |
|
|
Face Detection (Q)
|
100% |
34133
405.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5175
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75282
580.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
83452
645.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16841
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155110
199.4 IPS |
|
|
Style Transfer (Q)
|
100% |
156549
201.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3989
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41974
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
47671
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4223
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4301
74.3 IPS |
