Mac mini (2024)
Geekbench AI Score
4841
Single Precision Score
7966
Half Precision Score
6424
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | riquectba |
| Upload Date | June 28 2025 12:57 AM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.2 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3168
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3609
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9980
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19428
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16763
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
7667
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4517
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8796
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14804
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10424
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21834
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38750
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32193
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7249
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5537
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4421
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7421
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7430
128.4 IPS |
