Mac mini (2024)
Geekbench AI Score
4744
Single Precision Score
7865
Half Precision Score
6356
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 11:23 AM |
| Views | 2 |
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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3308
615.2 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3629
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10082
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16602
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7634
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4488
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8414
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14852
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10374
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25451
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38497
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32052
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6880
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4787
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5637
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6967
120.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6958
120.2 IPS |
