Mac mini (2024)
Geekbench AI Score
5382
Single Precision Score
8967
Half Precision Score
6994
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mrgnw |
| Upload Date | April 16 2025 05:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3038
565.0 IPS |
|
|
Image Classification (Q)
|
96% |
2166
404.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2295
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3899
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17310
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32256
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24270
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3715
295.8 IPS |
|
|
Object Detection (Q)
|
94% |
2674
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4646
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
7827
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
4590
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8664
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13835
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10125
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25384
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49804
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39712
51.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9974
368.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5798
214.1 IPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5269
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5191
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5640
97.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9097
157.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9211
159.2 IPS |
