MacBook Air (15-inch, 2023)
Geekbench AI Score
7269
Single Precision Score
8305
Half Precision Score
7711
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lidw950401 |
| Upload Date | October 30 2025 02:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3698
687.8 IPS |
|
|
Image Classification (HP)
|
100% |
3668
682.1 IPS |
|
|
Image Classification (Q)
|
96% |
3440
642.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5720
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5942
96.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5649
91.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24422
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26629
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25949
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3539
280.8 IPS |
|
|
Object Detection (HP)
|
100% |
3747
297.2 IPS |
|
|
Object Detection (Q)
|
92% |
3470
277.0 IPS |
|
|
Face Detection (SP)
|
100% |
10325
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
12165
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
10127
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16705
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18167
140.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
16601
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41793
53.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49032
63.0 IPS |
|
|
Style Transfer (Q)
|
96% |
47487
61.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9816
362.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10321
381.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8809
325.3 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3955
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1351
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1528
26.4 IPS |
