Mac mini (2024)
Geekbench AI Score
5771
Single Precision Score
8874
Half Precision Score
6868
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pr0n |
| Upload Date | March 20 2025 12:05 PM |
| Views | 17 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 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
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3471
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18906
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30805
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23943
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8082
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4514
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8804
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14374
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10144
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35853
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49609
63.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39655
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7015
259.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9633
355.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5247
193.8 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5146
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5159
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5798
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8593
148.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8717
150.6 IPS |
