Mac mini (2024)
Geekbench AI Score
8529
Single Precision Score
10477
Half Precision Score
9330
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TheKenLim |
| Upload Date | February 23 2025 01:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4604
856.1 IPS |
|
|
Image Classification (HP)
|
100% |
5030
935.5 IPS |
|
|
Image Classification (Q)
|
97% |
4288
800.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4865
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6953
112.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7592
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29958
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32011
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30524
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4960
393.5 IPS |
|
|
Object Detection (HP)
|
100% |
5416
429.6 IPS |
|
|
Object Detection (Q)
|
91% |
4641
370.9 IPS |
|
|
Face Detection (SP)
|
100% |
12977
154.2 IPS |
|
|
Face Detection (HP)
|
100% |
16210
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
11699
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21265
163.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23535
181.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20134
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59606
76.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71958
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68069
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12562
463.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13708
506.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10946
404.2 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5440
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5701
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1084
18.7 IPS |
