Mac mini (2024)
Geekbench AI Score
4753
Single Precision Score
7808
Half Precision Score
6337
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 09 2025 10:59 AM |
| Views | 9 |
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% |
2046
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
3286
611.1 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3219
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3629
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10065
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19064
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16606
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.5 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7612
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4534
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8466
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14914
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10421
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25535
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38650
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32069
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6823
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5199
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7030
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6899
119.2 IPS |
