Mac mini (2024)
Geekbench AI Score
5405
Single Precision Score
8974
Half Precision Score
6940
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 13 2025 01:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.7 IPS |
|
|
Image Classification (Q)
|
96% |
2169
405.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2291
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3537
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3881
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17315
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31162
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24073
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4687
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
7943
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4590
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8667
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14124
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10059
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26146
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48741
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38936
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10000
369.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5668
209.3 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5251
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5130
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5698
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9226
159.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9170
158.5 IPS |
