Mac mini (2024)
Geekbench AI Score
8639
Single Precision Score
10477
Half Precision Score
9357
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 11:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4617
858.6 IPS |
|
|
Image Classification (HP)
|
100% |
4955
921.5 IPS |
|
|
Image Classification (Q)
|
97% |
4375
816.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4942
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6990
113.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7537
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29870
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32040
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30538
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4989
395.7 IPS |
|
|
Object Detection (HP)
|
100% |
5432
430.9 IPS |
|
|
Object Detection (Q)
|
91% |
4667
372.9 IPS |
|
|
Face Detection (SP)
|
100% |
12102
143.8 IPS |
|
|
Face Detection (HP)
|
100% |
16489
195.9 IPS |
|
|
Face Detection (Q)
|
100% |
12369
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21397
164.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23656
182.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20468
160.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59676
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72284
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
67675
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12312
454.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13722
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10691
394.8 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5260
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5532
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1081
18.7 IPS |
