Mac mini (2024)
Geekbench AI Score
8753
Single Precision Score
10375
Half Precision Score
9271
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dragokeys |
| Upload Date | December 23 2024 06:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4710
875.8 IPS |
|
|
Image Classification (HP)
|
100% |
5018
933.2 IPS |
|
|
Image Classification (Q)
|
97% |
4346
811.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4937
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7000
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7550
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29900
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32094
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30557
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5002
396.8 IPS |
|
|
Object Detection (HP)
|
100% |
5453
432.6 IPS |
|
|
Object Detection (Q)
|
91% |
4647
371.3 IPS |
|
|
Face Detection (SP)
|
100% |
13114
155.8 IPS |
|
|
Face Detection (HP)
|
100% |
16195
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
12465
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21453
165.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23643
182.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19793
154.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58818
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71882
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68078
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12542
463.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13741
507.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10747
396.8 IPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5470
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1020
17.6 IPS |
