Mac mini (2024)
Geekbench AI Score
9785
Single Precision Score
11681
Half Precision Score
10802
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AlexeySukhanov |
| Upload Date | May 28 2025 01:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4629
860.9 IPS |
|
|
Image Classification (HP)
|
100% |
5066
942.1 IPS |
|
|
Image Classification (Q)
|
96% |
4660
870.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7563
122.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8005
129.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7852
127.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29501
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31737
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31364
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
4785
379.6 IPS |
|
|
Object Detection (HP)
|
100% |
5392
427.7 IPS |
|
|
Object Detection (Q)
|
92% |
4947
394.9 IPS |
|
|
Face Detection (SP)
|
100% |
12882
153.1 IPS |
|
|
Face Detection (HP)
|
100% |
16155
192.0 IPS |
|
|
Face Detection (Q)
|
100% |
13715
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21436
165.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23080
177.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
21592
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61116
78.6 IPS |
|
|
Style Transfer (HP)
|
100% |
70939
91.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69060
89.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12311
454.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12226
451.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10822
399.6 IPS |
|
|
Text Classification (SP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2740
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3157
54.6 IPS |
