Mac mini (2024)
Geekbench AI Score
5664
Single Precision Score
8777
Half Precision Score
6748
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | January 23 2025 08:46 PM |
| Views | 2 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2157
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
3119
580.0 IPS |
|
|
Image Classification (Q)
|
96% |
2013
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2590
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3428
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3879
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18921
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29147
34.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24233
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.1 IPS |
|
|
Object Detection (HP)
|
97% |
3692
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2738
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
7762
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4257
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7990
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14305
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10012
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33889
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
47128
60.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39152
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6761
249.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9668
357.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5432
200.6 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5111
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5091
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5732
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9125
157.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8193
141.6 IPS |
