Mac mini (2024)
Geekbench AI Score
5752
Single Precision Score
8935
Half Precision Score
6881
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 26 2025 01:27 AM |
| Views | 4 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2079
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3049
567.1 IPS |
|
|
Image Classification (Q)
|
96% |
2207
412.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2499
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3582
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3938
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18938
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31703
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23761
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2483
196.9 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
4528
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
7926
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4659
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8682
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14227
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10019
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35182
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49100
63.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39165
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7026
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9563
353.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5245
193.7 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5243
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5127
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5724
98.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8835
152.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8793
152.0 IPS |
