Mac mini (2024)
Geekbench AI Score
4840
Single Precision Score
7901
Half Precision Score
6353
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | uRyn |
| Upload Date | April 11 2025 03:17 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2110
392.4 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.9 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3148
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3594
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9995
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19417
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16743
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
97% |
3834
305.2 IPS |
|
|
Object Detection (Q)
|
94% |
2721
216.9 IPS |
|
|
Face Detection (SP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7590
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4437
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8707
67.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14737
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10360
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21817
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38592
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31957
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5455
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5378
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7132
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7143
123.4 IPS |
