Mac mini (2024)
Geekbench AI Score
10415
Single Precision Score
12192
Half Precision Score
11431
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jakobjs |
| Upload Date | June 01 2025 10:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4721
878.0 IPS |
|
|
Image Classification (HP)
|
100% |
4984
926.9 IPS |
|
|
Image Classification (Q)
|
96% |
4788
894.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7583
122.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8420
136.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8091
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29662
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31797
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31520
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4868
386.2 IPS |
|
|
Object Detection (HP)
|
100% |
5442
431.7 IPS |
|
|
Object Detection (Q)
|
92% |
5014
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
12751
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16822
199.9 IPS |
|
|
Face Detection (Q)
|
100% |
13436
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21620
166.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23588
181.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21380
167.0 IPS |
|
|
Style Transfer (SP)
|
100% |
60799
78.2 IPS |
|
|
Style Transfer (HP)
|
100% |
71109
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
69589
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12350
456.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12759
471.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10904
402.6 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5286
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4812
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5252
90.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5256
90.8 IPS |
