MacBook Air M3 15" Mac15,13
Geekbench AI Score
3943
Single Precision Score
7040
Half Precision Score
5713
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ptn |
| Upload Date | November 30 2025 11:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2977
553.7 IPS |
|
|
Image Classification (Q)
|
96% |
2087
389.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3252
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8154
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
17382
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14967
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
97% |
3224
256.7 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3387
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
6569
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3914
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6952
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12800
98.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9053
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21735
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33610
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28032
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4924
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4429
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6341
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6322
109.3 IPS |
