Mac mini (2024)
Geekbench AI Score
5741
Single Precision Score
8844
Half Precision Score
6888
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | s11mac |
| Upload Date | January 27 2025 11:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3028
563.2 IPS |
|
|
Image Classification (Q)
|
96% |
2190
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2467
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3517
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3940
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18811
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30552
35.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24462
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
7983
94.9 IPS |
|
|
Face Detection (Q)
|
100% |
4639
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8737
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14118
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10020
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35657
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49769
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38690
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6999
258.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9494
350.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5266
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5125
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5699
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8612
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8753
151.3 IPS |
