Mac mini (2024)
Geekbench AI Score
4480
Single Precision Score
7648
Half Precision Score
6149
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nautics |
| Upload Date | April 05 2025 07:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1996
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3531
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9569
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18542
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16335
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (HP)
|
97% |
3634
289.3 IPS |
|
|
Object Detection (Q)
|
94% |
2512
200.2 IPS |
|
|
Face Detection (SP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
6853
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
4048
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7203
55.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13854
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9916
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19613
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38231
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30208
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5419
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7222
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5060
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5443
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5443
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4091
70.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7023
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7046
121.8 IPS |
