Mac mini (2024)
Geekbench AI Score
9064
Single Precision Score
10930
Half Precision Score
9834
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EASYGEEK-6 |
| Upload Date | December 30 2024 09:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4633
861.5 IPS |
|
|
Image Classification (HP)
|
100% |
4991
928.1 IPS |
|
|
Image Classification (Q)
|
97% |
4407
822.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4998
81.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7072
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7613
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29917
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32122
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30549
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5022
398.4 IPS |
|
|
Object Detection (HP)
|
100% |
5452
432.5 IPS |
|
|
Object Detection (Q)
|
91% |
4680
374.0 IPS |
|
|
Face Detection (SP)
|
100% |
13124
155.9 IPS |
|
|
Face Detection (HP)
|
100% |
17011
202.1 IPS |
|
|
Face Detection (Q)
|
100% |
11952
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21476
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23713
182.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20316
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
58717
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72072
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
68344
88.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12711
469.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13719
506.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10809
399.1 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5506
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5469
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1710
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1793
30.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1799
31.1 IPS |
