Apple MacBook Air (13" M3) Mac15,12
Geekbench AI Score
5979
Single Precision Score
6761
Half Precision Score
6144
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | NuclearNotebook |
| Upload Date | August 18 2024 07:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.72 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3794
705.6 IPS |
|
|
Image Classification (HP)
|
100% |
4000
744.0 IPS |
|
|
Image Classification (Q)
|
99% |
3507
654.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4151
67.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5202
84.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
5094
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20373
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21743
25.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
20116
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
3978
315.6 IPS |
|
|
Object Detection (HP)
|
100% |
4207
333.7 IPS |
|
|
Object Detection (Q)
|
92% |
3322
265.2 IPS |
|
|
Face Detection (SP)
|
100% |
10594
125.9 IPS |
|
|
Face Detection (HP)
|
100% |
12572
149.4 IPS |
|
|
Face Detection (Q)
|
100% |
8828
104.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16932
130.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18788
144.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
18701
144.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44799
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49975
64.2 IPS |
|
|
Style Transfer (Q)
|
100% |
49615
63.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8915
329.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9685
357.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7551
279.7 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.6 IPS |
|
|
Text Classification (HP)
|
100% |
740
987.2 IPS |
|
|
Text Classification (Q)
|
93% |
740
993.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1111
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1403
24.3 IPS |
