Mac mini (2024)
Geekbench AI Score
5732
Single Precision Score
8890
Half Precision Score
6863
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 01:23 AM |
| Views | 2 |
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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.9 IPS |
|
|
Image Classification (Q)
|
96% |
2184
407.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3394
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3926
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18826
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32001
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24394
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7873
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4584
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8788
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14128
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10205
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35188
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51612
66.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38707
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9481
350.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5175
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5147
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5103
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5652
97.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8728
150.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8734
150.9 IPS |
