Mac mini (2024)
Geekbench AI Score
5349
Single Precision Score
9044
Half Precision Score
6956
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | werfree |
| Upload Date | April 13 2025 05:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.9 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3481
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3864
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17160
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32376
37.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24609
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3820
304.1 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
7957
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4502
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8583
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14422
111.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10193
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25174
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
51779
66.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38881
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10089
372.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5867
216.6 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5099
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5517
95.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8996
155.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9016
155.8 IPS |
