Mac mini (2024)
Geekbench AI Score
16624
Single Precision Score
18657
Half Precision Score
17514
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 05:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7842
1.46 KIPS |
|
|
Image Classification (HP)
|
100% |
8179
1.52 KIPS |
|
|
Image Classification (Q)
|
96% |
7451
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14199
230.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14978
242.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
14350
232.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
54247
63.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
59441
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57067
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
6897
547.1 IPS |
|
|
Object Detection (HP)
|
100% |
7081
561.6 IPS |
|
|
Object Detection (Q)
|
92% |
6895
550.4 IPS |
|
|
Face Detection (SP)
|
100% |
25498
303.0 IPS |
|
|
Face Detection (HP)
|
100% |
29515
350.7 IPS |
|
|
Face Detection (Q)
|
100% |
23925
284.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32874
253.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34520
266.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
32179
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
120008
154.3 IPS |
|
|
Style Transfer (HP)
|
100% |
133801
172.0 IPS |
|
|
Style Transfer (Q)
|
96% |
131253
169.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20571
759.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20809
768.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18323
676.6 IPS |
|
|
Text Classification (SP)
|
100% |
3184
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5873
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6262
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6312
109.1 IPS |
