Mac mini (2024)
Geekbench AI Score
9037
Single Precision Score
10901
Half Precision Score
9213
Quantized Score
Geekbench AI 1.4.0 Corporate for macOS AArch64
Result Information
| Upload Date | June 25 2025 12:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4581
852.0 IPS |
|
|
Image Classification (HP)
|
100% |
4941
918.8 IPS |
|
|
Image Classification (Q)
|
97% |
4284
799.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4783
77.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6914
112.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7454
120.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29529
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31741
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
30170
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
4891
388.0 IPS |
|
|
Object Detection (HP)
|
100% |
5374
426.3 IPS |
|
|
Object Detection (Q)
|
91% |
4590
366.8 IPS |
|
|
Face Detection (SP)
|
100% |
12807
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
16446
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
11944
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20977
161.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23322
179.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19944
155.9 IPS |
|
|
Style Transfer (SP)
|
100% |
57883
74.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71306
91.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67174
86.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12463
460.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13226
488.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10647
393.2 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5270
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1131
19.5 IPS |
