Mac mini (2024)
Geekbench AI Score
4728
Single Precision Score
7819
Half Precision Score
6315
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 07:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2052
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
3280
610.0 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3204
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19052
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16579
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7305
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
4430
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8357
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14731
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10371
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25388
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38545
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32031
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5661
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5388
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3932
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6991
120.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6948
120.1 IPS |
