Mac mini (2024)
Geekbench AI Score
5693
Single Precision Score
8830
Half Precision Score
6828
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | outsider254 |
| Upload Date | February 05 2025 03:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.4 IPS |
|
|
Image Classification (Q)
|
96% |
2160
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3467
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18744
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31632
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24151
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
4425
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
7709
91.6 IPS |
|
|
Face Detection (Q)
|
100% |
4560
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8762
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14312
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9977
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35087
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48738
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38255
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9465
349.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5217
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5227
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5278
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5547
95.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8559
147.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8499
146.9 IPS |
