MacBook Air (15-inch, 2023)
Geekbench AI Score
7436
Single Precision Score
8300
Half Precision Score
7768
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 07:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
3738
695.2 IPS |
|
|
Image Classification (HP)
|
100% |
3633
675.7 IPS |
|
|
Image Classification (Q)
|
96% |
3435
641.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5725
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6000
97.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5695
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24724
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26779
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26051
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3580
284.0 IPS |
|
|
Object Detection (HP)
|
100% |
3779
299.7 IPS |
|
|
Object Detection (Q)
|
92% |
3478
277.6 IPS |
|
|
Face Detection (SP)
|
100% |
10456
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
12257
145.6 IPS |
|
|
Face Detection (Q)
|
100% |
10121
120.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17112
131.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
18367
141.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16755
130.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43082
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49771
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
47612
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9855
363.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10323
381.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8932
329.8 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3890
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1595
27.6 IPS |
