Mac mini (2024)
Geekbench AI Score
4772
Single Precision Score
7758
Half Precision Score
6311
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | prashidi |
| Upload Date | June 16 2025 03:31 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2037
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
3294
612.5 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3065
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3582
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9907
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19261
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16557
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
3708
295.2 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4175
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
7335
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4377
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8625
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14579
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10251
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21251
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35834
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31850
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7294
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4997
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5483
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4322
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7155
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
