Mac mini (2024)
Geekbench AI Score
4743
Single Precision Score
7817
Half Precision Score
6372
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 08:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2057
382.5 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.6 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3218
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3703
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9998
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19041
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16610
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.3 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2746
218.9 IPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7647
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4503
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8424
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14869
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10404
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25386
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38601
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32074
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5754
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6745
249.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4792
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5445
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6964
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7011
121.2 IPS |
