Mac mini (2024)
Geekbench AI Score
4842
Single Precision Score
7922
Half Precision Score
6371
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 18 2025 01:48 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
3327
618.8 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3158
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3590
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9963
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19386
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16717
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2745
218.8 IPS |
|
|
Face Detection (SP)
|
100% |
4311
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7477
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8732
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14738
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10354
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21689
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38567
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32046
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7242
267.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5385
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7252
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7287
125.9 IPS |
