Mac mini (2024)
Geekbench AI Score
4847
Single Precision Score
7793
Half Precision Score
6252
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 29 2025 01:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
3366
625.9 IPS |
|
|
Image Classification (Q)
|
96% |
2346
438.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3118
50.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19276
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16117
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
97% |
3667
292.0 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7272
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4025
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8200
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13468
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9749
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24100
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38926
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32011
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5926
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7137
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4494
77.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7569
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7922
136.9 IPS |
