Mac mini (2024)
Geekbench AI Score
4571
Single Precision Score
7509
Half Precision Score
6060
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tha1isson |
| Upload Date | October 04 2025 07:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1914
356.0 IPS |
|
|
Image Classification (HP)
|
100% |
3180
591.4 IPS |
|
|
Image Classification (Q)
|
96% |
2212
413.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3088
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3545
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9405
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18267
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15766
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3529
280.9 IPS |
|
|
Object Detection (Q)
|
94% |
2495
198.9 IPS |
|
|
Face Detection (SP)
|
100% |
3975
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7247
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4100
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8083
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13722
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9506
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20246
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35996
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29758
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6733
248.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4765
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5174
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5384
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7223
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7288
125.9 IPS |
