Mac mini (2024)
Geekbench AI Score
5777
Single Precision Score
8917
Half Precision Score
6897
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 02:02 PM |
| Views | 2 |
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, 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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.3 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3501
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18859
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31504
36.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24292
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
97% |
3864
307.6 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4585
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7922
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4671
55.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8847
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14403
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10142
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35859
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50155
64.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38853
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9443
348.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5241
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5147
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5751
99.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8761
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8808
152.2 IPS |
