Mac mini (2024)
Geekbench AI Score
5775
Single Precision Score
8931
Half Precision Score
6924
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Coin1news |
| Upload Date | December 10 2024 07:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2074
385.6 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (Q)
|
96% |
2186
408.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3430
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18843
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31452
36.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24536
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
97% |
3818
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7982
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4683
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8830
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14774
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10313
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
36015
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50375
64.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39492
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9477
350.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5218
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5199
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5789
99.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8831
152.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8726
150.8 IPS |
