Mac mini (2024)
Geekbench AI Score
2683
Single Precision Score
4282
Half Precision Score
3370
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | April 18 2025 03:17 AM |
| Views | 10 |
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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1080
200.8 IPS |
|
|
Image Classification (HP)
|
100% |
1797
334.2 IPS |
|
|
Image Classification (Q)
|
96% |
1180
220.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1259
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1907
30.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5695
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
10365
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8844
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1359
107.8 IPS |
|
|
Object Detection (HP)
|
97% |
2051
163.2 IPS |
|
|
Object Detection (Q)
|
94% |
1431
114.1 IPS |
|
|
Face Detection (SP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (HP)
|
100% |
3842
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
2232
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4649
35.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7751
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5355
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11610
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20138
25.9 IPS |
|
|
Style Transfer (Q)
|
96% |
16583
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3363
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3963
146.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2711
100.1 IPS |
|
|
Text Classification (SP)
|
100% |
1727
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2961
3.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4067
70.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4170
72.1 IPS |
