Mac mini (2024)
Geekbench AI Score
4853
Single Precision Score
7924
Half Precision Score
6514
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wdinielli |
| Upload Date | May 13 2025 09:59 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
3317
616.8 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3154
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9981
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19424
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16763
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2745
218.8 IPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7671
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4531
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8753
67.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14795
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10411
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21792
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38847
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32225
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6149
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7274
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5468
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6220
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7215
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7489
129.4 IPS |
