MacBook Air (15-inch, 2023)
Geekbench AI Score
3267
Single Precision Score
6030
Half Precision Score
4894
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | remusn |
| Upload Date | October 20 2025 01:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1440
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2744
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6252
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
15020
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12936
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
2800
222.9 IPS |
|
|
Object Detection (Q)
|
94% |
2033
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5872
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3462
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5284
40.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10914
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7676
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17758
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28328
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23477
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5074
187.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3937
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6927
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
