Mac mini (2024)
Geekbench AI Score
4760
Single Precision Score
7825
Half Precision Score
6346
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TheKenLim |
| Upload Date | February 23 2025 01:39 AM |
| Views | 4 |
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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.2 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3244
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3684
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19060
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16594
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7619
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4488
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8411
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14839
114.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10391
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25427
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38650
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32129
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5777
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6768
249.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4785
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5452
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6937
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6881
118.9 IPS |
