Mac mini (2024)
Geekbench AI Score
9234
Single Precision Score
11161
Half Precision Score
10070
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | burakfirat |
| Upload Date | December 26 2024 08:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4647
864.2 IPS |
|
|
Image Classification (HP)
|
100% |
4985
927.1 IPS |
|
|
Image Classification (Q)
|
97% |
4385
818.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4998
81.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7047
114.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7697
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29935
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32089
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30590
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4995
396.2 IPS |
|
|
Object Detection (HP)
|
100% |
5459
433.0 IPS |
|
|
Object Detection (Q)
|
91% |
4639
370.7 IPS |
|
|
Face Detection (SP)
|
100% |
13084
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
17037
202.4 IPS |
|
|
Face Detection (Q)
|
100% |
12523
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21502
165.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23767
183.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20088
157.0 IPS |
|
|
Style Transfer (SP)
|
100% |
58953
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71950
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68195
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12609
465.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13719
506.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10778
398.0 IPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2079
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2225
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2218
38.3 IPS |
