MacBook Air (2022)
Geekbench AI Score
3294
Single Precision Score
26619
Half Precision Score
29089
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | October 10 2025 08:08 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1295
240.8 IPS |
|
|
Image Classification (HP)
|
100% |
14952
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15301
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19688
319.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24167
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
103261
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105170
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
99% |
15815
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17271
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
34205
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
43476
516.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5308
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
87210
671.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107973
843.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18063
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201361
258.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193907
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37430
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41180
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4244
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4428
76.5 IPS |
