Mac mini (2024)
Geekbench AI Score
4754
Single Precision Score
7823
Half Precision Score
6309
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 05:27 PM |
| Views | 2 |
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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3285
610.9 IPS |
|
|
Image Classification (Q)
|
96% |
2322
433.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19069
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16602
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
97% |
3774
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2740
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7529
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
4465
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8387
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14825
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10379
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25477
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38623
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32024
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5767
212.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6868
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5423
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5188
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7071
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7072
122.2 IPS |
