Mac mini (2024)
Geekbench AI Score
8549
Single Precision Score
10407
Half Precision Score
9570
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | hiipeng |
| Upload Date | March 07 2025 02:56 AM |
| Views | 2 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4701
874.2 IPS |
|
|
Image Classification (HP)
|
100% |
5094
947.4 IPS |
|
|
Image Classification (Q)
|
97% |
4421
825.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4953
80.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6974
113.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7638
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29813
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32188
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30600
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
5019
398.1 IPS |
|
|
Object Detection (HP)
|
100% |
5453
432.5 IPS |
|
|
Object Detection (Q)
|
91% |
4701
375.7 IPS |
|
|
Face Detection (SP)
|
100% |
12929
153.6 IPS |
|
|
Face Detection (HP)
|
100% |
16581
197.0 IPS |
|
|
Face Detection (Q)
|
100% |
12511
148.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21566
166.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23910
184.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20594
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
58751
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72521
93.2 IPS |
|
|
Style Transfer (Q)
|
96% |
67956
87.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12547
463.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13681
505.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10900
402.5 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5585
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5428
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
984
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1281
22.1 IPS |
