Mac mini (2024)
Geekbench AI Score
4761
Single Precision Score
7864
Half Precision Score
6334
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ncard00 |
| Upload Date | December 20 2024 08:02 PM |
| Views | 10 |
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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3272
608.5 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3240
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3690
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10088
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19050
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16591
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2736
218.1 IPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7652
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4464
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8373
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14828
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10346
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25422
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38548
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31892
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5809
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6773
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4795
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5623
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7087
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6921
119.6 IPS |
