Mac mini (2024)
Geekbench AI Score
4738
Single Precision Score
7848
Half Precision Score
6350
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 08:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2009
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
3296
613.0 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3246
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3653
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19026
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16599
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2746
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
4069
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7621
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4564
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14847
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10408
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25415
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38753
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32144
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5766
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6775
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4787
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5491
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7005
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6971
120.5 IPS |
