Mac mini (2024)
Geekbench AI Score
4753
Single Precision Score
7826
Half Precision Score
6323
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dragokeys |
| Upload Date | December 23 2024 05:58 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
3305
614.7 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3267
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3656
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19026
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16569
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2741
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
3960
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7579
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4500
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14825
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10378
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25437
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38537
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31963
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5724
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6753
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4796
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5441
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5491
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3940
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6890
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6743
116.5 IPS |
