M4 Pro Mac Mini Mac mini (2024)
Geekbench AI Score
5714
Single Precision Score
8900
Half Precision Score
6888
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SRD |
| Upload Date | December 10 2024 08:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
2999
557.8 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3468
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3931
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18346
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31869
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24285
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3797
302.3 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
7903
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4550
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14455
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10200
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35642
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50552
65.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39098
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6997
258.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9641
356.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5316
196.3 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5196
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5504
94.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8537
147.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8654
149.6 IPS |
