Mac Mini M4 Pro 12c 64GB Mac mini (2024)
Geekbench AI Score
5748
Single Precision Score
8877
Half Precision Score
6941
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Mommel |
| Upload Date | March 29 2025 01:10 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
2995
557.0 IPS |
|
|
Image Classification (Q)
|
96% |
2157
402.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2463
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3533
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3954
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31164
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
23994
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4513
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7893
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4669
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8673
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14352
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10066
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35483
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49573
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38415
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7009
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9568
353.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5796
214.0 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5227
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5779
99.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8695
150.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8689
150.2 IPS |
