Mac mini (2024)
Geekbench AI Score
9792
Single Precision Score
11600
Half Precision Score
10896
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 11:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4794
891.5 IPS |
|
|
Image Classification (HP)
|
100% |
4958
922.0 IPS |
|
|
Image Classification (Q)
|
96% |
4678
873.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7612
123.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7927
128.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7869
127.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29545
34.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31908
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31102
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
4790
379.9 IPS |
|
|
Object Detection (HP)
|
100% |
5410
429.1 IPS |
|
|
Object Detection (Q)
|
92% |
4961
396.0 IPS |
|
|
Face Detection (SP)
|
100% |
11982
142.4 IPS |
|
|
Face Detection (HP)
|
100% |
16487
195.9 IPS |
|
|
Face Detection (Q)
|
100% |
13811
164.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21538
165.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23822
183.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
21649
169.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60070
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72072
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69553
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12333
455.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13737
507.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11450
422.8 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5359
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2807
48.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3123
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3182
55.0 IPS |
