Mac mini (2024)
Geekbench AI Score
5851
Single Precision Score
8983
Half Precision Score
6977
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CordonTi |
| Upload Date | January 03 2025 10:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
3127
581.6 IPS |
|
|
Image Classification (Q)
|
96% |
2137
399.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3650
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3927
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18977
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30910
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23801
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
97% |
3867
307.9 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
7904
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4702
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9001
69.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14404
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10344
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35856
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48701
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39014
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7097
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9588
354.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5726
211.4 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5328
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5273
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5734
98.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8861
153.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8833
152.6 IPS |
