Mac mini (2024)
Geekbench AI Score
5748
Single Precision Score
8901
Half Precision Score
6860
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | szuperp |
| Upload Date | March 23 2025 07:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.48 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3015
560.7 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18861
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30835
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24241
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4503
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7908
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4578
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8872
68.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14465
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10032
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35885
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49426
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38686
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6975
257.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9505
351.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5278
194.9 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5320
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5190
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5678
97.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8762
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8620
149.0 IPS |
