Mac mini (2024)
Geekbench AI Score
4670
Single Precision Score
7765
Half Precision Score
6212
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sarcoma |
| Upload Date | May 06 2025 03:09 AM |
| Views | 5 |
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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.1 IPS |
|
|
Image Classification (HP)
|
100% |
3296
613.0 IPS |
|
|
Image Classification (Q)
|
96% |
2252
420.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3261
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3502
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9614
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19059
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16304
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
97% |
3727
296.7 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7254
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14320
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10020
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20778
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37936
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31273
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5863
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7238
267.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5454
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6717
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
