Mac mini (2024)
Geekbench AI Score
4866
Single Precision Score
7879
Half Precision Score
6376
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | voronczoff |
| Upload Date | April 03 2025 09:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2099
390.4 IPS |
|
|
Image Classification (HP)
|
100% |
3321
617.6 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3203
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3613
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19379
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16713
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2735
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
7569
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4439
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8700
67.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14718
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10344
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21609
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38556
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32014
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7100
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4979
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5437
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7108
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7158
123.7 IPS |
