Mac mini (2024)
Geekbench AI Score
5767
Single Precision Score
8820
Half Precision Score
6867
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dragokeys |
| Upload Date | May 27 2025 07:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3030
563.6 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3373
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18923
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31699
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24485
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4596
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7721
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4617
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8763
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14348
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35679
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49523
63.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38678
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7018
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9574
353.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5264
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5127
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5165
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5755
99.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8534
147.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8554
147.8 IPS |
