MacBook Air M3 15" Mac15,13
Geekbench AI Score
8518
Single Precision Score
9891
Half Precision Score
9054
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ptn |
| Upload Date | November 30 2025 11:20 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4396
817.5 IPS |
|
|
Image Classification (HP)
|
100% |
4721
878.0 IPS |
|
|
Image Classification (Q)
|
96% |
4224
788.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6427
104.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6972
113.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6713
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23516
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26566
31.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
25956
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4312
342.0 IPS |
|
|
Object Detection (HP)
|
100% |
4754
377.1 IPS |
|
|
Object Detection (Q)
|
92% |
4458
355.9 IPS |
|
|
Face Detection (SP)
|
100% |
11386
135.3 IPS |
|
|
Face Detection (HP)
|
100% |
15117
179.6 IPS |
|
|
Face Detection (Q)
|
100% |
12050
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18227
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20025
154.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
18443
144.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49954
64.2 IPS |
|
|
Style Transfer (HP)
|
100% |
59733
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
57721
74.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10582
390.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10735
396.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9303
343.5 IPS |
|
|
Text Classification (SP)
|
100% |
3265
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5556
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1960
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2001
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1704
29.5 IPS |
