Mac mini (2024)
Geekbench AI Score
4753
Single Precision Score
36506
Half Precision Score
51451
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | somata |
| Upload Date | December 29 2024 10:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
16878
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
24790
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21387
346.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30134
488.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10089
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123911
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233605
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
18864
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26176
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
43594
518.0 IPS |
|
|
Face Detection (Q)
|
100% |
59189
703.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8407
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98995
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
168930
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25422
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233912
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
299575
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5817
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49453
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83431
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6072
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6273
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18157
313.8 IPS |
