Mac mini (2024)
Geekbench AI Score
4575
Single Precision Score
7654
Half Precision Score
6208
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gastaro |
| Upload Date | April 28 2025 05:31 AM |
| Views | 10 |
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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3280
610.0 IPS |
|
|
Image Classification (Q)
|
96% |
2300
429.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3583
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9380
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18877
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16263
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.8 IPS |
|
|
Object Detection (HP)
|
97% |
3711
295.5 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3938
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
7030
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
4244
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8185
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14428
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10135
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19360
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37945
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31464
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5691
210.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6959
257.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4942
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3076
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5562
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4119
71.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6368
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6389
110.4 IPS |
