Mac mini (2024)
Geekbench AI Score
4432
Single Precision Score
7364
Half Precision Score
5960
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | March 20 2025 12:45 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1866
347.0 IPS |
|
|
Image Classification (HP)
|
100% |
3159
587.5 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3095
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9155
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17833
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15616
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2151
170.6 IPS |
|
|
Object Detection (HP)
|
97% |
3550
282.6 IPS |
|
|
Object Detection (Q)
|
94% |
2575
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
4100
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7859
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13939
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9791
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23325
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36618
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30657
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5462
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6643
245.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4598
169.8 IPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5443
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5388
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3689
63.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6179
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6165
106.5 IPS |
