MacBook Air (15-inch, 2023)
Geekbench AI Score
7329
Single Precision Score
8206
Half Precision Score
7568
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | fsg |
| Upload Date | April 14 2026 10:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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% |
3659
680.4 IPS |
|
|
Image Classification (HP)
|
100% |
3670
682.4 IPS |
|
|
Image Classification (Q)
|
96% |
3418
638.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5690
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5876
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5591
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24615
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26781
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26065
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3644
289.0 IPS |
|
|
Object Detection (HP)
|
100% |
3739
296.6 IPS |
|
|
Object Detection (Q)
|
92% |
3387
270.3 IPS |
|
|
Face Detection (SP)
|
100% |
10354
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
12128
144.1 IPS |
|
|
Face Detection (Q)
|
100% |
9919
117.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16764
129.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18092
139.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
16653
130.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42105
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49229
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47758
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9828
362.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10285
379.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9061
334.6 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3946
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3917
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1463
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1305
22.6 IPS |
