Mac mini (2024)
Geekbench AI Score
4756
Single Precision Score
7855
Half Precision Score
6343
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EASYGEEK-6 |
| Upload Date | December 30 2024 08:13 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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.5 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3631
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19062
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16615
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2756
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7569
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4522
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8435
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14862
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10409
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25472
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38538
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32054
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5697
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6873
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5404
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7063
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7023
121.4 IPS |
