Mac mini (2024)
Geekbench AI Score
9016
Single Precision Score
11108
Half Precision Score
9994
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | arcashton |
| Upload Date | February 22 2025 06:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4757
884.7 IPS |
|
|
Image Classification (HP)
|
100% |
4995
928.9 IPS |
|
|
Image Classification (Q)
|
97% |
4331
808.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4831
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6957
112.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7554
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29859
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32036
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30529
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4963
393.7 IPS |
|
|
Object Detection (HP)
|
100% |
5434
431.0 IPS |
|
|
Object Detection (Q)
|
91% |
4633
370.2 IPS |
|
|
Face Detection (SP)
|
100% |
12913
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
16715
198.6 IPS |
|
|
Face Detection (Q)
|
100% |
12305
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21254
163.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23683
182.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20333
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60101
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71841
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
67631
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12347
455.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13715
506.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10848
400.6 IPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5447
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1689
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2226
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2124
36.7 IPS |
