Mac mini (2024)
Geekbench AI Score
8870
Single Precision Score
10663
Half Precision Score
9727
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | May 14 2025 08:21 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 | 3.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2502
465.4 IPS |
|
|
Image Classification (HP)
|
100% |
2587
481.1 IPS |
|
|
Image Classification (Q)
|
96% |
1973
368.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6575
106.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7347
119.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8124
131.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29671
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31334
36.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
30867
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
4752
376.9 IPS |
|
|
Object Detection (HP)
|
100% |
5380
426.8 IPS |
|
|
Object Detection (Q)
|
92% |
4878
389.4 IPS |
|
|
Face Detection (SP)
|
100% |
12679
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
15645
185.9 IPS |
|
|
Face Detection (Q)
|
100% |
13309
158.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21332
164.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23021
177.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
21202
165.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60374
77.6 IPS |
|
|
Style Transfer (HP)
|
100% |
70753
91.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63774
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7855
290.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12963
478.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11041
407.7 IPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5477
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3280
56.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2905
50.2 IPS |
