Mac mini (2024)
Geekbench AI Score
5774
Single Precision Score
8853
Half Precision Score
6854
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dragokeys |
| Upload Date | May 27 2025 07:35 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.2 IPS |
|
|
Image Classification (Q)
|
96% |
2173
405.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2452
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3406
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18835
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31337
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23886
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4589
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7870
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4630
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8799
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14355
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10186
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35810
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50484
64.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39312
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9506
351.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5178
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5133
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5801
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8489
146.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8591
148.5 IPS |
