Mac mini (2024)
Geekbench AI Score
4750
Single Precision Score
7802
Half Precision Score
6307
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | February 21 2025 12:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3296
613.0 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3151
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16609
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4066
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7649
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4514
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14880
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10418
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25523
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38544
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32053
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5797
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6819
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4784
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5400
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5243
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6927
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6898
119.2 IPS |
