Mac mini (2024)
Geekbench AI Score
2597
Single Precision Score
4180
Half Precision Score
3300
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | April 11 2025 07:43 PM |
| Views | 9 |
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 | 2.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1073
199.5 IPS |
|
|
Image Classification (HP)
|
100% |
1773
329.8 IPS |
|
|
Image Classification (Q)
|
96% |
1155
215.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1892
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5583
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8769
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
97% |
1987
158.2 IPS |
|
|
Object Detection (Q)
|
94% |
1390
110.8 IPS |
|
|
Face Detection (SP)
|
100% |
2072
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
2145
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4567
35.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7736
59.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5272
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11286
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20196
26.0 IPS |
|
|
Style Transfer (Q)
|
96% |
16135
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2718
100.4 IPS |
|
|
Text Classification (SP)
|
100% |
1748
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2968
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3736
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3909
67.5 IPS |
