Mac mini (2024)
Geekbench AI Score
5756
Single Precision Score
8870
Half Precision Score
6893
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | stefanobolognini |
| Upload Date | March 14 2025 09:52 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
3026
562.8 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2537
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3550
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3923
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18918
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29799
34.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24042
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
7924
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4680
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8740
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14171
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10038
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
35042
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50008
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39016
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9574
353.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5291
195.4 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5252
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5168
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5711
98.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8707
150.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8777
151.7 IPS |
