Mac mini (2024)
Geekbench AI Score
9170
Single Precision Score
11019
Half Precision Score
9966
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mvodya |
| Upload Date | March 09 2025 11:09 AM |
| Views | 4 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4636
862.2 IPS |
|
|
Image Classification (HP)
|
100% |
4974
925.1 IPS |
|
|
Image Classification (Q)
|
97% |
4334
808.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4902
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6956
112.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7576
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29725
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32090
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30526
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4982
395.2 IPS |
|
|
Object Detection (HP)
|
100% |
5421
430.0 IPS |
|
|
Object Detection (Q)
|
91% |
4638
370.6 IPS |
|
|
Face Detection (SP)
|
100% |
12963
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
15920
189.2 IPS |
|
|
Face Detection (Q)
|
100% |
12350
146.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21471
165.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23789
183.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
20142
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58597
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72218
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
67620
87.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12368
456.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13725
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10778
398.0 IPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5203
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2209
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2205
38.1 IPS |
