Mac mini (2024)
Geekbench AI Score
4845
Single Precision Score
7932
Half Precision Score
6403
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | k92782 |
| Upload Date | April 30 2025 10:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
3324
618.2 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3169
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3633
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9924
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19430
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16724
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7558
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4500
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8746
67.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14778
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10394
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21813
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38742
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32100
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7365
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7227
124.9 IPS |
