Mac mini (2024)
Geekbench AI Score
5799
Single Precision Score
8999
Half Precision Score
6936
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ddalledo |
| Upload Date | January 22 2025 12:26 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 | 4.41 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2153
400.3 IPS |
|
|
Image Classification (HP)
|
100% |
3131
582.2 IPS |
|
|
Image Classification (Q)
|
96% |
2224
415.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2583
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3740
60.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3939
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18568
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
30469
35.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23899
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.2 IPS |
|
|
Object Detection (HP)
|
97% |
3892
309.8 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7927
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4624
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8665
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14132
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10066
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35178
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49717
63.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38805
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7081
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9593
354.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5426
200.3 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5256
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5226
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5787
99.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8937
154.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8978
155.1 IPS |
