Mac mini (2024)
Geekbench AI Score
8719
Single Precision Score
10329
Half Precision Score
9345
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | vkuusk |
| Upload Date | February 23 2025 04:07 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4778
888.5 IPS |
|
|
Image Classification (HP)
|
100% |
5119
952.0 IPS |
|
|
Image Classification (Q)
|
97% |
4383
818.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4884
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6977
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7562
122.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29873
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32051
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30535
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4962
393.6 IPS |
|
|
Object Detection (HP)
|
100% |
5431
430.8 IPS |
|
|
Object Detection (Q)
|
91% |
4680
374.0 IPS |
|
|
Face Detection (SP)
|
100% |
12984
154.3 IPS |
|
|
Face Detection (HP)
|
100% |
16244
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
12292
146.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21382
164.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23888
184.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20105
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58607
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71953
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
67859
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12786
472.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13739
507.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10751
397.0 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5425
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5494
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1198
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1083
18.7 IPS |
