Mac mini (2024)
Geekbench AI Score
4275
Single Precision Score
7254
Half Precision Score
5944
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | May 16 2025 07:39 PM |
| Views | 9 |
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 | 3.99 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
2794
519.6 IPS |
|
|
Image Classification (Q)
|
96% |
1939
362.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2530
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3370
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8866
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18220
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15783
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.6 IPS |
|
|
Object Detection (HP)
|
97% |
3583
285.2 IPS |
|
|
Object Detection (Q)
|
94% |
2525
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
3752
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6747
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
4021
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8045
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13943
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9696
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17956
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36739
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29943
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5434
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6775
250.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4883
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
2975
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5450
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5427
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4038
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6853
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6844
118.3 IPS |
