Mac mini (2024)
Geekbench AI Score
5193
Single Precision Score
8928
Half Precision Score
6870
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 13 2025 02:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.8 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2285
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3535
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3822
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16093
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31598
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23967
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.5 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.4 IPS |
|
|
Face Detection (SP)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
7714
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4344
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8423
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14129
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9976
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24393
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49806
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38058
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5936
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9974
368.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5817
214.8 IPS |
|
|
Text Classification (SP)
|
100% |
2910
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5287
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5232
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5156
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8784
151.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8849
152.9 IPS |
