Mac mini (2024)
Geekbench AI Score
5700
Single Precision Score
8863
Half Precision Score
6856
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ymmij |
| Upload Date | December 12 2024 09:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
3013
560.4 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2478
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3556
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3865
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18821
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31291
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23829
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
97% |
3799
302.4 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
4485
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
7719
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4529
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8464
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13933
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9980
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35345
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48835
62.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38306
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7037
259.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9605
354.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5314
196.2 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5284
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5298
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5592
96.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8811
152.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8808
152.2 IPS |
