Mac mini (2024)
Geekbench AI Score
9952
Single Precision Score
11764
Half Precision Score
10915
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wyw26 |
| Upload Date | November 24 2025 12:05 PM |
| Views | 5 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4740
881.6 IPS |
|
|
Image Classification (HP)
|
100% |
5149
957.6 IPS |
|
|
Image Classification (Q)
|
96% |
4638
866.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7604
123.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8091
131.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7860
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28855
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33070
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32159
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4921
390.3 IPS |
|
|
Object Detection (HP)
|
100% |
5411
429.2 IPS |
|
|
Object Detection (Q)
|
92% |
5020
400.7 IPS |
|
|
Face Detection (SP)
|
100% |
13048
155.0 IPS |
|
|
Face Detection (HP)
|
100% |
17775
211.2 IPS |
|
|
Face Detection (Q)
|
100% |
14065
167.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21175
163.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23608
181.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
21286
166.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59739
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72426
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
70108
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12125
447.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12416
458.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10747
396.9 IPS |
|
|
Text Classification (SP)
|
100% |
3408
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
5812
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2732
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3161
54.6 IPS |
