Mac mini (2024)
Geekbench AI Score
4618
Single Precision Score
7627
Half Precision Score
6180
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | geekbenchmonk |
| Upload Date | March 28 2025 03:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1953
363.2 IPS |
|
|
Image Classification (HP)
|
100% |
3183
592.0 IPS |
|
|
Image Classification (Q)
|
96% |
2233
417.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2017
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3082
50.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3542
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9744
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18832
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16319
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.7 IPS |
|
|
Object Detection (HP)
|
97% |
3707
295.1 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
7306
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
4278
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8232
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14271
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10094
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24956
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38031
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31466
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6758
249.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4779
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5358
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5329
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6779
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6830
118.0 IPS |
