Mac mini (2024)
Geekbench AI Score
4760
Single Precision Score
7827
Half Precision Score
6356
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 23 2025 02:40 PM |
| Views | 6 |
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% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.6 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3208
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3635
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10092
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19043
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16607
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2746
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
4050
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7681
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4551
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14848
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10412
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25445
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38570
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32094
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5777
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6879
254.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5371
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6893
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7139
123.4 IPS |
