Mac mini (2024)
Geekbench AI Score
5754
Single Precision Score
8868
Half Precision Score
6875
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Simondeminuit |
| Upload Date | January 16 2025 11:55 PM |
| Views | 14 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.8 IPS |
|
|
Image Classification (Q)
|
96% |
2206
412.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3551
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3914
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18941
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31884
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24317
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
4556
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
7817
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4594
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8559
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13812
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35597
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48342
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38615
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7046
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9542
352.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5284
195.1 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5138
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5086
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5595
96.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8947
154.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8785
151.8 IPS |
