Mac mini (2024)
Geekbench AI Score
4745
Single Precision Score
7814
Half Precision Score
6280
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | battusujith |
| Upload Date | April 19 2025 06:00 PM |
| Views | 15 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2047
380.7 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.5 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3135
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3586
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9714
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19249
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16564
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2704
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
4079
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
7209
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
4317
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8628
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14628
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10201
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21197
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38417
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31853
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7194
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4967
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
2920
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5302
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4358
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6956
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6965
120.4 IPS |
