Mac mini (2024)
Geekbench AI Score
4724
Single Precision Score
7766
Half Precision Score
6270
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 09:20 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3276
609.2 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3622
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19067
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16484
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2273
180.3 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
7481
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4350
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8287
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14686
113.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10217
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25269
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38335
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31724
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6763
249.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4802
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
5310
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5373
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7005
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6921
119.6 IPS |
