Mac mini (2024)
Geekbench AI Score
4834
Single Precision Score
7872
Half Precision Score
6363
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cesarantunes |
| Upload Date | April 18 2025 01:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (HP)
|
100% |
3321
617.6 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3207
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3657
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9874
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19329
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16668
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
3762
299.5 IPS |
|
|
Object Detection (Q)
|
94% |
2720
216.8 IPS |
|
|
Face Detection (SP)
|
100% |
4229
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7303
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
4458
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8758
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14758
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10361
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21442
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38517
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32046
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6040
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7091
261.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5441
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7145
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7025
121.4 IPS |
