Mac mini (2024)
Geekbench AI Score
4693
Single Precision Score
7743
Half Precision Score
6259
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mvodya |
| Upload Date | March 09 2025 11:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
3293
612.5 IPS |
|
|
Image Classification (Q)
|
96% |
2302
429.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3597
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19109
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16495
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
97% |
3767
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2689
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7231
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4306
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14616
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10165
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25196
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38323
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31649
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5859
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6780
250.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4821
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5463
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7022
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6888
119.0 IPS |
