Mac mini (2024)
Geekbench AI Score
5382
Single Precision Score
8995
Half Precision Score
6997
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kazk |
| Upload Date | April 27 2025 01:35 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.5 IPS |
|
|
Image Classification (Q)
|
96% |
2177
406.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3500
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3928
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17154
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32113
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24292
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4696
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
7909
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4614
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14339
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10181
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25462
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49840
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39547
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9943
367.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5951
219.7 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5278
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5654
97.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8970
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8972
155.1 IPS |
