MacBook Air (2022)
Geekbench AI Score
3257
Single Precision Score
24888
Half Precision Score
27961
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 20 2025 08:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
13866
2.58 KIPS |
|
|
Image Classification (Q)
|
96% |
14202
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16272
263.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22820
369.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6670
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
98981
115.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
97939
114.8 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
15709
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17872
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
32254
383.2 IPS |
|
|
Face Detection (Q)
|
100% |
41332
491.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5355
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85790
661.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108760
849.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17483
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
182994
235.2 IPS |
|
|
Style Transfer (Q)
|
96% |
184392
237.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3830
141.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35949
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47524
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3660
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3369
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3846
66.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3572
61.7 IPS |
