MacBook Air (15-inch, 2023)
Geekbench AI Score
3297
Single Precision Score
6085
Half Precision Score
4939
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lidw950401 |
| Upload Date | October 30 2025 01:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.4 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2776
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6289
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
15145
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12916
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
97% |
2830
225.3 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3510
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5352
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11024
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7775
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18000
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28331
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23683
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3741
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5009
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3711
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3605
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7015
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7041
121.7 IPS |
