Mac mini (2024)
Geekbench AI Score
10555
Single Precision Score
12529
Half Precision Score
10992
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 13 2025 03:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4813
895.0 IPS |
|
|
Image Classification (HP)
|
100% |
5213
969.4 IPS |
|
|
Image Classification (Q)
|
96% |
4728
882.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7633
123.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8503
137.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8178
132.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29016
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33097
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32297
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4936
391.6 IPS |
|
|
Object Detection (HP)
|
100% |
5413
429.4 IPS |
|
|
Object Detection (Q)
|
92% |
5065
404.3 IPS |
|
|
Face Detection (SP)
|
100% |
12784
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
17639
209.6 IPS |
|
|
Face Detection (Q)
|
100% |
14054
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21313
164.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23861
183.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
21792
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
60026
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72842
93.6 IPS |
|
|
Style Transfer (Q)
|
96% |
70330
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12048
444.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12559
463.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10908
402.8 IPS |
|
|
Text Classification (SP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5710
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5708
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5460
94.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3038
52.5 IPS |
