Mac mini (2024)
Geekbench AI Score
4783
Single Precision Score
7854
Half Precision Score
6364
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 04 2024 12:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.3 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3208
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3669
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10075
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19016
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16585
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3809
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2756
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
7748
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4560
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8427
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14875
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10387
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25456
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38505
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32042
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6741
248.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3124
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6977
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6961
120.3 IPS |
