Mac mini (2024)
Geekbench AI Score
10430
Single Precision Score
12326
Half Precision Score
11535
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | voronczoff |
| Upload Date | April 03 2025 09:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4739
881.4 IPS |
|
|
Image Classification (HP)
|
100% |
4948
920.2 IPS |
|
|
Image Classification (Q)
|
96% |
4766
890.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7576
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8358
135.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8151
132.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29735
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31983
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31104
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
4787
379.7 IPS |
|
|
Object Detection (HP)
|
100% |
5421
430.0 IPS |
|
|
Object Detection (Q)
|
92% |
5025
401.1 IPS |
|
|
Face Detection (SP)
|
100% |
12891
153.2 IPS |
|
|
Face Detection (HP)
|
100% |
16775
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
13680
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21489
165.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24045
185.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21678
169.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59744
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71980
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
69341
89.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12391
457.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13719
506.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11409
421.3 IPS |
|
|
Text Classification (SP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5410
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4827
83.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5242
90.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5218
90.2 IPS |
