mini Core ML CPU Mac mini (2024)
Geekbench AI Score
5712
Single Precision Score
8836
Half Precision Score
6834
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | granthussey |
| Upload Date | December 21 2024 03:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3030
563.5 IPS |
|
|
Image Classification (Q)
|
96% |
2149
401.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3494
56.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3906
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18878
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31635
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24139
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4446
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
7670
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4633
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8601
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14196
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10059
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35333
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49188
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38725
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7009
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9653
356.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5238
193.4 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5202
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5660
97.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8462
146.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8456
146.1 IPS |
