Mac mini (2024)
Geekbench AI Score
4769
Single Precision Score
7841
Half Precision Score
6305
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | peterb123 |
| Upload Date | September 21 2025 10:17 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3336
620.4 IPS |
|
|
Image Classification (Q)
|
96% |
2335
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9567
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19092
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16495
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3730
297.0 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7204
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
4283
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13932
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9841
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22589
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38450
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31581
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7181
265.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4926
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
5895
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5860
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7299
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7334
126.7 IPS |
