Mac mini (2024)
Geekbench AI Score
9763
Single Precision Score
11477
Half Precision Score
10819
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 08 2025 09:42 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4663
867.3 IPS |
|
|
Image Classification (HP)
|
100% |
4981
926.4 IPS |
|
|
Image Classification (Q)
|
96% |
4734
884.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7600
123.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7983
129.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7880
127.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29564
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31749
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31405
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4793
380.2 IPS |
|
|
Object Detection (HP)
|
100% |
5434
431.0 IPS |
|
|
Object Detection (Q)
|
92% |
5012
400.1 IPS |
|
|
Face Detection (SP)
|
100% |
12177
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
16541
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
13792
163.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21671
167.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23170
178.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
21595
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60970
78.4 IPS |
|
|
Style Transfer (HP)
|
100% |
70950
91.2 IPS |
|
|
Style Transfer (Q)
|
96% |
68964
89.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12361
456.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12240
452.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10870
401.4 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5357
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3144
54.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3131
54.1 IPS |
