Mac mini (2024)
Geekbench AI Score
3942
Single Precision Score
7082
Half Precision Score
5691
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | SimonMH111 |
| Upload Date | July 19 2025 01:17 AM |
| Views | 11 |
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 | 3.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1970
366.3 IPS |
|
|
Image Classification (HP)
|
100% |
3156
586.9 IPS |
|
|
Image Classification (Q)
|
96% |
2115
394.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1665
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2817
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3015
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7334
8.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
17192
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14612
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1967
156.0 IPS |
|
|
Object Detection (HP)
|
97% |
3245
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2315
184.6 IPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
5604
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3423
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6914
53.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12553
97.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8940
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14600
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35081
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30355
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4999
184.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6950
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4785
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5482
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5324
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6809
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
