Mac mini (2024)
Geekbench AI Score
4851
Single Precision Score
7921
Half Precision Score
6332
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AlexeySukhanov |
| Upload Date | May 28 2025 01:32 PM |
| Views | 3 |
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% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3591
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9964
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19413
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16737
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2737
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
7621
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4423
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8668
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14699
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10326
80.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21844
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38828
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32122
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6102
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7266
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5202
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4384
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7156
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7129
123.2 IPS |
