Mac mini (2024)
Geekbench AI Score
5013
Single Precision Score
8119
Half Precision Score
6505
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 27 2025 10:46 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3566
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19424
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16759
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2761
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
4434
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
7971
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
4620
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8653
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14255
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10085
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24733
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39214
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32343
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6065
223.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7224
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4919
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5799
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8131
140.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8110
140.2 IPS |
