Mac mini (2024)
Geekbench AI Score
4720
Single Precision Score
36710
Half Precision Score
52702
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 03 2025 11:39 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
17678
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
25687
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21962
356.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30112
488.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9849
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116016
135.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230172
269.8 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
18494
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26228
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43453
516.3 IPS |
|
|
Face Detection (Q)
|
100% |
64703
768.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8397
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99595
767.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172142
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25372
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233443
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
299802
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5725
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50560
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86390
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6430
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6729
9.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16247
279.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18238
315.2 IPS |
