Mac mini M4 26.1 Mac mini (2024)
Geekbench AI Score
4987
Single Precision Score
8086
Half Precision Score
6495
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wyw26 |
| Upload Date | November 24 2025 12:02 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2118
394.0 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2358
440.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3566
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19432
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16778
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2746
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
7902
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4603
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8645
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14201
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10078
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24582
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39216
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32293
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6032
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7227
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4927
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5803
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5735
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4569
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8126
140.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8152
140.9 IPS |
