Mac mini (2024)
Geekbench AI Score
5801
Single Precision Score
8996
Half Precision Score
6898
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TSMusik |
| Upload Date | January 29 2025 01:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (Q)
|
96% |
2165
404.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2573
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3632
58.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3932
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18899
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31647
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23811
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3857
307.1 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7858
93.4 IPS |
|
|
Face Detection (Q)
|
100% |
4645
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8655
66.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14345
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10115
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35334
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
50095
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38502
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7109
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9676
357.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5395
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5349
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5258
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5802
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8796
152.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8813
152.3 IPS |
