Mac Mini M4 Pro, 48GB Mac16,11
Geekbench AI Score
5763
Single Precision Score
8872
Half Precision Score
6894
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | yu123456787654 |
| Upload Date | November 13 2024 10:25 PM |
| Views | 240 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,11 |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
3035
564.4 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3450
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3912
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18924
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31741
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24260
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
4521
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
7864
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
4658
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8834
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13976
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10150
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34690
44.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49494
63.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38365
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7046
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9553
352.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5315
196.2 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5274
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5192
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5711
98.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8688
150.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8734
150.9 IPS |
