Mac mini (2024)
Geekbench AI Score
4861
Single Precision Score
36912
Half Precision Score
52290
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enfwngzer |
| Upload Date | May 01 2025 06:10 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2110
392.3 IPS |
|
|
Image Classification (HP)
|
100% |
17039
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
26096
4.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22197
359.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29393
476.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9988
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123152
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232469
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
18774
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26459
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
44724
531.4 IPS |
|
|
Face Detection (Q)
|
100% |
65490
778.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8753
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99318
765.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168680
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21724
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234871
301.9 IPS |
|
|
Style Transfer (Q)
|
96% |
299787
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6113
225.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49919
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83635
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6183
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6337
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16678
287.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18457
319.0 IPS |
