Mac mini (2024)
Geekbench AI Score
4657
Single Precision Score
7675
Half Precision Score
6191
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | neph |
| Upload Date | February 06 2025 05:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
3221
599.0 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3104
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9841
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19040
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16444
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2279
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
3809
45.3 IPS |
|
|
Face Detection (HP)
|
100% |
6806
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
4186
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8195
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14623
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10218
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25165
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37986
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31609
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6900
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4749
175.4 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5394
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5153
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3911
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7017
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6933
119.8 IPS |
