Apple MacBook Air (13" M3) Mac15,12
Geekbench AI Score
3993
Single Precision Score
5713
Half Precision Score
4711
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | NuclearNotebook |
| Upload Date | August 18 2024 06:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
2265
421.3 IPS |
|
|
Image Classification (Q)
|
99% |
2286
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1685
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1563
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8590
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17118
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14708
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1896
150.4 IPS |
|
|
Object Detection (HP)
|
97% |
2672
212.7 IPS |
|
|
Object Detection (Q)
|
94% |
2047
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3250
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5237
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3347
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6857
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10096
78.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4838
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21631
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32439
41.7 IPS |
|
|
Style Transfer (Q)
|
100% |
32473
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5014
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6079
224.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4400
163.0 IPS |
|
|
Text Classification (SP)
|
100% |
2868
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4757
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4724
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4599
79.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4585
79.2 IPS |
