Mac mini (2024)
Geekbench AI Score
4875
Single Precision Score
7956
Half Precision Score
6411
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | October 09 2025 06:18 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2108
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
3337
620.6 IPS |
|
|
Image Classification (Q)
|
96% |
2333
435.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3157
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10009
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19418
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16755
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
3850
306.5 IPS |
|
|
Object Detection (Q)
|
94% |
2743
218.6 IPS |
|
|
Face Detection (SP)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
7852
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4517
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8733
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14736
113.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10346
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21777
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38915
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32171
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6100
225.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7269
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3084
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7190
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7236
125.1 IPS |
