Mac mini (2024)
Geekbench AI Score
4644
Single Precision Score
7662
Half Precision Score
6104
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | adnannasiboe |
| Upload Date | November 06 2025 05:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.91 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1944
361.6 IPS |
|
|
Image Classification (HP)
|
100% |
3240
602.6 IPS |
|
|
Image Classification (Q)
|
96% |
2106
393.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2975
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3234
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9021
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18015
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16132
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
97% |
3680
293.0 IPS |
|
|
Object Detection (Q)
|
94% |
2569
204.7 IPS |
|
|
Face Detection (SP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
7332
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4163
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8210
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13586
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9538
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22321
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37480
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30151
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6557
242.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4791
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5883
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5893
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4384
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7577
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7536
130.2 IPS |
