Mac mini (2024)
Geekbench AI Score
4944
Single Precision Score
8036
Half Precision Score
6452
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | apq |
| Upload Date | December 29 2025 06:27 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2123
394.8 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
96% |
2364
441.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3111
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3519
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10041
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19402
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16710
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2743
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
4280
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
7744
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4469
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8524
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14165
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9963
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24315
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38932
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31970
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7269
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4937
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3312
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5753
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5795
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4480
77.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8067
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8053
139.2 IPS |
