Mac mini (2024)
Geekbench AI Score
4854
Single Precision Score
7927
Half Precision Score
6387
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 16 2025 02:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2088
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3328
618.9 IPS |
|
|
Image Classification (Q)
|
96% |
2326
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3126
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3595
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9918
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19398
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16719
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.9 IPS |
|
|
Object Detection (Q)
|
94% |
2730
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7577
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4442
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8677
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14682
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10339
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21636
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38709
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32077
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6109
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7329
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5459
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4394
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7408
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7344
126.9 IPS |
