Mac mini (2024)
Geekbench AI Score
8679
Single Precision Score
10370
Half Precision Score
9554
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lmeyler |
| Upload Date | February 05 2025 01:06 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
4644
863.6 IPS |
|
|
Image Classification (HP)
|
100% |
5093
947.1 IPS |
|
|
Image Classification (Q)
|
97% |
4357
813.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5032
81.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7036
114.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7592
123.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29904
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32090
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30687
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5024
398.5 IPS |
|
|
Object Detection (HP)
|
100% |
5511
437.1 IPS |
|
|
Object Detection (Q)
|
91% |
4654
371.9 IPS |
|
|
Face Detection (SP)
|
100% |
13234
157.2 IPS |
|
|
Face Detection (HP)
|
100% |
16250
193.1 IPS |
|
|
Face Detection (Q)
|
100% |
12627
150.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21894
168.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24000
184.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20050
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59106
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72284
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
68126
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12527
462.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13723
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10965
404.9 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5394
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5407
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1312
22.7 IPS |
