Mac mini (2024)
Geekbench AI Score
4733
Single Precision Score
7806
Half Precision Score
6330
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 10:31 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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
3285
611.0 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3630
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10057
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19059
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16602
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2756
219.6 IPS |
|
|
Face Detection (SP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7538
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4473
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8344
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14783
114.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10375
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25449
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38468
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32015
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5745
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6856
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4787
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6963
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6974
120.5 IPS |
