Mac mini (2024)
Geekbench AI Score
4677
Single Precision Score
7745
Half Precision Score
6263
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jpots87 |
| Upload Date | January 25 2025 05:33 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% |
1996
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
3274
608.9 IPS |
|
|
Image Classification (Q)
|
96% |
2299
429.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3247
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3616
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9969
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19037
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16476
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.7 IPS |
|
|
Object Detection (HP)
|
97% |
3732
297.1 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
7266
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4319
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8267
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14565
112.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10142
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25185
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38286
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31529
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6766
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4828
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5576
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6730
116.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6788
117.3 IPS |
