Mac mini (2024)
Geekbench AI Score
5742
Single Precision Score
8837
Half Precision Score
6855
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | GPV67 |
| Upload Date | December 04 2024 12:51 AM |
| Views | 5 |
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% |
2088
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3024
562.3 IPS |
|
|
Image Classification (Q)
|
96% |
2183
407.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2454
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3436
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3949
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18910
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31073
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24202
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
97% |
3849
306.4 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4524
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
7647
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4587
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8594
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14304
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10133
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35652
45.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50090
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38912
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7048
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9521
351.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5217
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5190
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5630
97.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8591
148.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8570
148.1 IPS |
