Mac mini (2024)
Geekbench AI Score
13817
Single Precision Score
14975
Half Precision Score
13730
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ekatak |
| Upload Date | August 03 2025 10:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6914
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7309
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
6773
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12278
199.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12887
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12109
196.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46041
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47445
55.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
46594
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
6510
516.4 IPS |
|
|
Object Detection (HP)
|
100% |
7166
568.4 IPS |
|
|
Object Detection (Q)
|
92% |
6449
514.7 IPS |
|
|
Face Detection (SP)
|
100% |
23525
279.5 IPS |
|
|
Face Detection (HP)
|
100% |
24840
295.2 IPS |
|
|
Face Detection (Q)
|
100% |
21372
254.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
30991
238.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
32035
246.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
29157
227.7 IPS |
|
|
Style Transfer (SP)
|
100% |
105094
135.1 IPS |
|
|
Style Transfer (HP)
|
100% |
111100
142.8 IPS |
|
|
Style Transfer (Q)
|
96% |
109233
141.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16814
620.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17270
637.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15264
563.6 IPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5112
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5097
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2697
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1825
31.5 IPS |
