MacBook Air (2022)
Geekbench AI Score
3457
Single Precision Score
26172
Half Precision Score
28640
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | February 08 2025 05:58 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
14653
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
14798
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18891
306.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23917
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6849
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
103968
121.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104373
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.6 IPS |
|
|
Object Detection (HP)
|
99% |
15250
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17621
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
33574
398.9 IPS |
|
|
Face Detection (Q)
|
100% |
38196
453.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86290
664.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107213
837.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18601
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
198708
255.4 IPS |
|
|
Style Transfer (Q)
|
96% |
187529
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4036
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39135
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47343
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3721
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4217
72.9 IPS |
