Mac mini (2024)
Geekbench AI Score
5781
Single Precision Score
8921
Half Precision Score
6871
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | joostl |
| Upload Date | February 07 2025 02:09 PM |
| Views | 18 |
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, 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% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.3 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3565
57.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3933
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18898
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30396
35.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
23802
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7889
93.7 IPS |
|
|
Face Detection (Q)
|
100% |
4631
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8673
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14553
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10184
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35355
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50960
65.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38937
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7049
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9517
351.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5288
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5114
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5107
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5811
100.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8861
153.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8726
150.8 IPS |
