Mac mini (2024)
Geekbench AI Score
10304
Single Precision Score
12274
Half Precision Score
11186
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cesarantunes |
| Upload Date | April 18 2025 01:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4707
875.4 IPS |
|
|
Image Classification (HP)
|
100% |
4996
929.1 IPS |
|
|
Image Classification (Q)
|
96% |
4765
889.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7670
124.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8489
137.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8094
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29741
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31877
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31167
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
4828
382.9 IPS |
|
|
Object Detection (HP)
|
100% |
5431
430.8 IPS |
|
|
Object Detection (Q)
|
92% |
4994
398.6 IPS |
|
|
Face Detection (SP)
|
100% |
13009
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
16618
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
13664
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21545
166.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23815
183.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21942
171.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59896
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72291
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
70371
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12537
462.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13593
501.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11631
429.5 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5398
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4213
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4837
83.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3859
66.7 IPS |
