Mac mini (2024)
Geekbench AI Score
5747
Single Precision Score
8924
Half Precision Score
6913
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | December 14 2024 11:01 PM |
| Views | 7 |
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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.8 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3500
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3943
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18823
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31475
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24120
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3808
303.2 IPS |
|
|
Object Detection (Q)
|
94% |
2652
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
8008
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4656
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8768
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14508
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10436
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35749
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50391
64.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39650
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7018
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9494
350.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5260
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5101
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5749
99.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8773
151.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8735
151.0 IPS |
