MacMini Mac mini (2024)
Geekbench AI Score
10129
Single Precision Score
11951
Half Precision Score
11195
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | July 13 2025 09:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4786
890.0 IPS |
|
|
Image Classification (HP)
|
100% |
5147
957.3 IPS |
|
|
Image Classification (Q)
|
96% |
4814
899.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7624
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8467
137.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8060
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29884
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31691
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31228
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4966
393.9 IPS |
|
|
Object Detection (HP)
|
100% |
5590
443.4 IPS |
|
|
Object Detection (Q)
|
92% |
5106
407.6 IPS |
|
|
Face Detection (SP)
|
100% |
12561
149.3 IPS |
|
|
Face Detection (HP)
|
100% |
16936
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
13248
157.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22107
170.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23976
184.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
22192
173.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60715
78.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71212
91.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68960
89.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12999
480.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12919
477.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11426
421.9 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5510
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5439
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3968
68.6 IPS |
