Mac mini (2024)
Geekbench AI Score
5744
Single Precision Score
8866
Half Precision Score
6862
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | BennyDaBall |
| Upload Date | February 21 2025 04:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
3017
561.2 IPS |
|
|
Image Classification (Q)
|
96% |
2192
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2434
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3398
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3937
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18915
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31003
36.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23798
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7940
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4661
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8796
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14514
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10182
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35591
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50113
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38936
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9497
350.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5174
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5146
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5090
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5711
98.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8761
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8730
150.9 IPS |
