Mac mini (2024)
Geekbench AI Score
4986
Single Precision Score
8061
Half Precision Score
6473
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | November 16 2025 10:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2103
391.0 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3149
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3557
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10002
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19392
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16760
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3793
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2737
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
4347
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7840
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4540
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14187
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10036
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24455
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39007
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32124
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7204
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4929
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5807
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8019
138.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8059
139.3 IPS |
