Mac mini (2024)
Geekbench AI Score
9847
Single Precision Score
11680
Half Precision Score
10870
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 15 2025 10:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E247) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4718
877.4 IPS |
|
|
Image Classification (HP)
|
100% |
5115
951.2 IPS |
|
|
Image Classification (Q)
|
96% |
4701
877.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7587
123.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8057
130.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7908
128.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29520
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31995
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31089
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
4827
382.9 IPS |
|
|
Object Detection (HP)
|
100% |
5423
430.1 IPS |
|
|
Object Detection (Q)
|
92% |
4981
397.6 IPS |
|
|
Face Detection (SP)
|
100% |
12919
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
15944
189.5 IPS |
|
|
Face Detection (Q)
|
100% |
13685
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21591
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23715
182.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
21603
168.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61410
78.9 IPS |
|
|
Style Transfer (HP)
|
100% |
72180
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
69501
89.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12262
452.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13723
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11517
425.3 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2755
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3152
54.5 IPS |
