MacBook Air (2022)
Geekbench AI Score
3208
Single Precision Score
25302
Half Precision Score
27045
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kazukied2 |
| Upload Date | January 02 2026 07:01 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.27 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
14604
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
14978
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19095
309.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22927
371.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6459
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
97705
114.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
96945
113.6 IPS |
|
|
Object Detection (SP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (HP)
|
99% |
15285
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16916
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
2868
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
30242
359.3 IPS |
|
|
Face Detection (Q)
|
100% |
34478
409.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5148
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
80891
623.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
102421
800.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17315
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
192833
247.9 IPS |
|
|
Style Transfer (Q)
|
96% |
188088
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3816
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38881
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46979
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3799
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3371
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3137
54.2 IPS |
