Mac mini (2024)
Geekbench AI Score
5757
Single Precision Score
8893
Half Precision Score
6886
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 16 2025 12:39 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.6 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3459
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3952
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18934
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31074
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24087
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
4534
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
7886
93.7 IPS |
|
|
Face Detection (Q)
|
100% |
4658
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8766
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14199
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10037
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35742
45.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49777
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38792
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9681
357.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5254
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5310
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5187
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5723
98.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8675
149.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8820
152.4 IPS |
