Mac mini (2024)
Geekbench AI Score
10548
Single Precision Score
12568
Half Precision Score
10998
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 27 2025 10:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
4747
882.8 IPS |
|
|
Image Classification (HP)
|
100% |
5357
996.2 IPS |
|
|
Image Classification (Q)
|
96% |
4658
869.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7598
123.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8487
137.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8132
131.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28815
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33084
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32175
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4917
390.0 IPS |
|
|
Object Detection (HP)
|
100% |
5381
426.9 IPS |
|
|
Object Detection (Q)
|
92% |
5035
401.9 IPS |
|
|
Face Detection (SP)
|
100% |
13022
154.7 IPS |
|
|
Face Detection (HP)
|
100% |
17507
208.0 IPS |
|
|
Face Detection (Q)
|
100% |
14008
166.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21024
162.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23793
183.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21386
167.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59704
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72423
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
70182
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12262
452.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12473
460.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10793
398.5 IPS |
|
|
Text Classification (SP)
|
100% |
3336
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
5955
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5920
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4994
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5423
93.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3142
54.3 IPS |
