Mac mini (2024)
Geekbench AI Score
15822
Single Precision Score
17919
Half Precision Score
15665
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 06:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.03 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8178
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
9158
1.70 KIPS |
|
|
Image Classification (Q)
|
97% |
7497
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12441
201.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13422
217.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13672
221.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
57326
66.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59815
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
56686
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
7483
593.6 IPS |
|
|
Object Detection (HP)
|
100% |
8064
639.6 IPS |
|
|
Object Detection (Q)
|
91% |
6664
532.5 IPS |
|
|
Face Detection (SP)
|
100% |
25592
304.1 IPS |
|
|
Face Detection (HP)
|
100% |
29217
347.2 IPS |
|
|
Face Detection (Q)
|
100% |
19935
236.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34698
267.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36093
278.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
29958
234.1 IPS |
|
|
Style Transfer (SP)
|
100% |
123690
159.0 IPS |
|
|
Style Transfer (HP)
|
100% |
135942
174.8 IPS |
|
|
Style Transfer (Q)
|
96% |
128421
165.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24347
899.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25916
957.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20538
758.4 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5161
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2874
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2977
51.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2827
48.9 IPS |
