Mac mini (2024)
Geekbench AI Score
4723
Single Precision Score
7816
Half Precision Score
6254
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | May 14 2025 07:55 AM |
| Views | 7 |
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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.6 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3147
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9788
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19329
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16526
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
7175
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4206
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14477
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10090
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21018
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38598
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31531
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7249
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5092
188.0 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5423
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4357
75.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6958
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6980
120.6 IPS |
