Mac mini (2024)
Geekbench AI Score
9170
Single Precision Score
11072
Half Precision Score
10028
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 09:18 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
4670
868.5 IPS |
|
|
Image Classification (HP)
|
100% |
4983
926.7 IPS |
|
|
Image Classification (Q)
|
97% |
4374
816.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4869
78.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6899
111.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7598
123.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29676
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32263
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30500
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
5005
397.0 IPS |
|
|
Object Detection (HP)
|
100% |
5451
432.4 IPS |
|
|
Object Detection (Q)
|
91% |
4643
371.0 IPS |
|
|
Face Detection (SP)
|
100% |
12748
151.5 IPS |
|
|
Face Detection (HP)
|
100% |
16314
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
12302
146.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21283
164.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23700
182.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20241
158.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58488
75.2 IPS |
|
|
Style Transfer (HP)
|
100% |
71960
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
67551
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12483
460.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13681
505.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10742
396.6 IPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5417
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2225
38.4 IPS |
