Mac mini (2024)
Geekbench AI Score
6937
Single Precision Score
9218
Half Precision Score
8524
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 21 2024 04:21 PM |
| Views | 2 |
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% |
4692
872.5 IPS |
|
|
Image Classification (HP)
|
100% |
5058
940.6 IPS |
|
|
Image Classification (Q)
|
97% |
4409
822.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4973
80.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7003
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7616
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29892
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32096
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27725
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3488
276.7 IPS |
|
|
Object Detection (HP)
|
100% |
5459
433.0 IPS |
|
|
Object Detection (Q)
|
91% |
4664
372.7 IPS |
|
|
Face Detection (SP)
|
100% |
12942
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
16568
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
11270
133.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7900
60.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13521
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
18264
142.8 IPS |
|
|
Style Transfer (SP)
|
100% |
45088
58.0 IPS |
|
|
Style Transfer (HP)
|
100% |
68597
88.2 IPS |
|
|
Style Transfer (Q)
|
96% |
62916
81.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11181
412.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11766
434.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9069
334.9 IPS |
|
|
Text Classification (SP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4519
6.03 KIPS |
|
|
Text Classification (Q)
|
93% |
4530
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (Q)
|
98% |
877
15.2 IPS |
