Mac mini (2024)
Geekbench AI Score
4670
Single Precision Score
36521
Half Precision Score
51166
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 05:26 AM |
| Views | 1 |
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% |
1999
371.7 IPS |
|
|
Image Classification (HP)
|
100% |
18130
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
25542
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21384
346.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30134
488.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9823
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
124141
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232837
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
18395
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25936
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
43705
519.3 IPS |
|
|
Face Detection (Q)
|
100% |
55916
664.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8359
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99412
765.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169141
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25158
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
237247
305.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300560
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49680
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84813
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6209
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6203
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3900
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
14996
258.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17692
305.7 IPS |
