MacBook Air (15-inch, 2023)
Geekbench AI Score
7601
Single Precision Score
8592
Half Precision Score
7983
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:25 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3791
705.0 IPS |
|
|
Image Classification (HP)
|
100% |
3798
706.4 IPS |
|
|
Image Classification (Q)
|
96% |
3478
649.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5802
94.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6023
97.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5716
92.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24659
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26970
31.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
26278
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3687
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
3841
304.6 IPS |
|
|
Object Detection (Q)
|
92% |
3526
281.4 IPS |
|
|
Face Detection (SP)
|
100% |
10358
123.1 IPS |
|
|
Face Detection (HP)
|
100% |
12151
144.4 IPS |
|
|
Face Detection (Q)
|
100% |
10183
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17289
133.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18793
144.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17132
133.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42384
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49792
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
47947
61.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10159
375.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10724
396.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9528
351.8 IPS |
|
|
Text Classification (SP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3892
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1951
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1834
31.7 IPS |
