Mac mini (2024)
Geekbench AI Score
9157
Single Precision Score
11144
Half Precision Score
9384
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | neph |
| Upload Date | February 06 2025 05:35 PM |
| Views | 13 |
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% |
4668
868.0 IPS |
|
|
Image Classification (HP)
|
100% |
5145
956.8 IPS |
|
|
Image Classification (Q)
|
97% |
4365
814.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4877
79.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7025
113.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7663
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29879
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32127
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30547
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5052
400.7 IPS |
|
|
Object Detection (HP)
|
100% |
5643
447.6 IPS |
|
|
Object Detection (Q)
|
91% |
4673
373.4 IPS |
|
|
Face Detection (SP)
|
100% |
13011
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
16457
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
12200
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21647
166.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23779
183.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20503
160.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58637
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72092
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
67701
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12315
454.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13806
509.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11112
410.3 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5540
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5424
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2006
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1087
18.8 IPS |
