Mac mini (2024)
Geekbench AI Score
5383
Single Precision Score
8993
Half Precision Score
6973
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TTT3242309j |
| Upload Date | April 10 2025 12:09 AM |
| Views | 9 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3023
562.1 IPS |
|
|
Image Classification (Q)
|
96% |
2154
402.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3675
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16959
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30947
36.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
23958
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4675
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
7859
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
4610
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14143
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25642
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49911
64.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38490
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6001
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10093
372.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5989
221.1 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5361
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5664
97.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8788
151.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8823
152.5 IPS |
