Mac mini (2024)
Geekbench AI Score
4985
Single Precision Score
8109
Half Precision Score
6504
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cashman247 |
| Upload Date | December 03 2025 10:29 PM |
| Views | 5 |
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% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.1 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3237
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3560
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19403
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16770
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3805
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2744
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
4379
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7919
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4592
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14165
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10065
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24497
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39268
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32368
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6034
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7258
268.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4948
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4532
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8090
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8069
139.4 IPS |
