Mac mini (2024)
Geekbench AI Score
9992
Single Precision Score
11808
Half Precision Score
11021
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dengduck |
| Upload Date | May 06 2025 04:46 PM |
| Views | 10 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4796
892.0 IPS |
|
|
Image Classification (HP)
|
100% |
5124
953.0 IPS |
|
|
Image Classification (Q)
|
96% |
4809
898.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7632
123.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8245
133.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8055
130.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29662
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31880
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31175
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
4907
389.2 IPS |
|
|
Object Detection (HP)
|
100% |
5484
435.0 IPS |
|
|
Object Detection (Q)
|
92% |
5043
402.5 IPS |
|
|
Face Detection (SP)
|
100% |
12954
153.9 IPS |
|
|
Face Detection (HP)
|
100% |
16919
201.0 IPS |
|
|
Face Detection (Q)
|
100% |
13744
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21869
168.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24066
185.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
22076
172.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60024
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72059
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
69465
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12393
457.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13719
506.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11596
428.2 IPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3223
55.7 IPS |
