Mac mini (2024)
Geekbench AI Score
4943
Single Precision Score
8070
Half Precision Score
6463
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 17 2026 04:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2095
389.5 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3188
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19441
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16702
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.6 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2729
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7782
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4482
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8542
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14122
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9985
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24348
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38949
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31948
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7246
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4944
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5830
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4501
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8106
140.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8118
140.3 IPS |
