Mac mini (2024)
Geekbench AI Score
4700
Single Precision Score
7722
Half Precision Score
6243
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 01:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3324
618.1 IPS |
|
|
Image Classification (Q)
|
96% |
2329
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9525
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18811
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16236
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
97% |
3655
291.0 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3985
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7147
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
4332
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8340
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13827
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9784
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22098
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38197
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31540
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4880
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5804
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5736
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6866
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6974
120.5 IPS |
