Mac mini (2024)
Geekbench AI Score
5785
Single Precision Score
8944
Half Precision Score
6939
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 31 2024 03:16 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3065
570.0 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3922
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18861
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31824
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24072
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4627
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
8010
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4650
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8881
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14143
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10252
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35117
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49939
64.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38909
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7038
259.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9536
352.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5569
205.7 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5193
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5181
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5809
100.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8759
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8755
151.3 IPS |
