Mac mini (2024)
Geekbench AI Score
10387
Single Precision Score
12287
Half Precision Score
10941
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 21 2025 07:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 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% |
4626
860.3 IPS |
|
|
Image Classification (HP)
|
100% |
4960
922.4 IPS |
|
|
Image Classification (Q)
|
96% |
4678
873.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7621
123.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8380
135.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8035
130.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29791
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32342
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31415
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4811
381.6 IPS |
|
|
Object Detection (HP)
|
100% |
5403
428.6 IPS |
|
|
Object Detection (Q)
|
92% |
4973
396.9 IPS |
|
|
Face Detection (SP)
|
100% |
12851
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
16936
201.2 IPS |
|
|
Face Detection (Q)
|
100% |
13811
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21607
166.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23728
182.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
21604
168.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61357
78.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71586
92.0 IPS |
|
|
Style Transfer (Q)
|
96% |
69987
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12454
459.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13739
507.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11435
422.2 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5444
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5624
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4622
79.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5021
86.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3118
53.9 IPS |
