Mac mini (2024)
Geekbench AI Score
5701
Single Precision Score
8960
Half Precision Score
6928
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 27 2025 01:40 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, 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% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3059
568.8 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2513
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3606
58.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3947
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18739
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31319
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24355
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
97% |
3836
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2665
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4478
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
7783
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
4631
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8564
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14116
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10104
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35915
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50120
64.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38981
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7017
259.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9696
358.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5372
198.4 IPS |
|
|
Text Classification (SP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5273
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5533
95.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8872
153.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8802
152.1 IPS |
