Mac mini (2024)
Geekbench AI Score
4728
Single Precision Score
7800
Half Precision Score
6301
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TechHut |
| Upload Date | April 09 2025 05:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
3258
605.9 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19090
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16545
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
3950
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7594
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4422
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8322
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14758
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10252
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25329
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38343
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31626
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4777
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5427
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3945
68.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7068
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7064
122.1 IPS |
