Mac mini (2024)
Geekbench AI Score
4728
Single Precision Score
7795
Half Precision Score
6329
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pcworth |
| Upload Date | January 18 2025 01:29 AM |
| Views | 11 |
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 | 4.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.2 IPS |
|
|
Image Classification (Q)
|
96% |
2308
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3161
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3624
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10040
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18991
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16552
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2747
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
3977
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7782
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4504
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8403
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14849
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10374
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25395
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38354
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32008
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6857
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5524
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6951
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6872
118.8 IPS |
