Mac mini (2024)
Geekbench AI Score
5335
Single Precision Score
8902
Half Precision Score
6929
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 04:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.9 IPS |
|
|
Image Classification (Q)
|
96% |
2165
404.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3482
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3922
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16727
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31914
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23944
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4622
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
7712
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4553
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8593
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14556
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10140
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25781
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48474
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38743
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9973
368.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5825
215.1 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5243
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5276
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5487
94.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8567
148.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8626
149.1 IPS |
