Mac mini (2024)
Geekbench AI Score
5767
Single Precision Score
8923
Half Precision Score
6874
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | urix |
| Upload Date | February 22 2025 08:18 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac mini (2024) |
| 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% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3046
566.4 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18960
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31724
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23854
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
97% |
3835
305.3 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7911
94.0 IPS |
|
|
Face Detection (Q)
|
100% |
4593
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8574
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13914
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9940
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35600
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48546
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38420
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9662
356.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5343
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5237
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5213
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5798
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8780
151.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8780
151.7 IPS |
