MacBook Air M3 15" GPU Mac15,13
Geekbench AI Score
7431
Single Precision Score
8945
Half Precision Score
8058
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | hacktests |
| Upload Date | December 17 2024 12:28 PM |
| Views | 9 |
| Notes | MacBook Air M3 15" GPU |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4324
804.1 IPS |
|
|
Image Classification (HP)
|
100% |
4684
871.0 IPS |
|
|
Image Classification (Q)
|
97% |
4031
752.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4170
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5902
95.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6288
101.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24721
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26505
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25209
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
4363
346.0 IPS |
|
|
Object Detection (HP)
|
100% |
4871
386.3 IPS |
|
|
Object Detection (Q)
|
91% |
4121
329.3 IPS |
|
|
Face Detection (SP)
|
100% |
11564
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
14861
176.6 IPS |
|
|
Face Detection (Q)
|
100% |
10833
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18314
141.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20435
157.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17664
138.1 IPS |
|
|
Style Transfer (SP)
|
100% |
51578
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
60086
77.2 IPS |
|
|
Style Transfer (Q)
|
96% |
56429
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10959
404.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11758
434.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9485
350.2 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5202
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5184
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
826
14.3 IPS |
