Mac mini (2024)
Geekbench AI Score
4853
Single Precision Score
7942
Half Precision Score
6381
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dengduck |
| Upload Date | May 06 2025 04:43 PM |
| Views | 20 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.3 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3628
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9851
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19400
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16679
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3806
303.0 IPS |
|
|
Object Detection (Q)
|
94% |
2734
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7545
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4443
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8685
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14687
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10304
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21632
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38663
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31999
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7330
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5024
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5615
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7259
125.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7282
125.8 IPS |
