Mac15,13
Geekbench AI Score
4107
Single Precision Score
6849
Half Precision Score
5628
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anms |
| Upload Date | December 10 2024 08:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C100) |
| 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 | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
2892
537.9 IPS |
|
|
Image Classification (Q)
|
96% |
2057
384.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3255
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8777
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17242
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14948
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3230
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2320
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
5696
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3906
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7130
54.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13526
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9369
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22140
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33817
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28150
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5204
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6076
224.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4445
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5231
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5158
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5824
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5820
100.6 IPS |
