Mac mini (2024)
Geekbench AI Score
4327
Single Precision Score
7058
Half Precision Score
5871
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 19 2025 05:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1968
366.1 IPS |
|
|
Image Classification (HP)
|
100% |
3186
592.6 IPS |
|
|
Image Classification (Q)
|
96% |
2232
416.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3171
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3463
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9035
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14185
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15882
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3593
286.1 IPS |
|
|
Object Detection (Q)
|
94% |
2438
194.4 IPS |
|
|
Face Detection (SP)
|
100% |
3005
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
6064
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
4165
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6956
53.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13063
101.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8890
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17828
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30727
39.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28894
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5696
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6907
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5351
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4299
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6518
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6497
112.3 IPS |
