Mac mini (2024)
Geekbench AI Score
4841
Single Precision Score
37872
Half Precision Score
53933
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dengduck |
| Upload Date | May 06 2025 04:50 PM |
| Views | 9 |
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% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
18123
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
29431
5.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21429
347.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30289
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9840
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123150
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231858
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
18819
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26916
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
44625
530.2 IPS |
|
|
Face Detection (Q)
|
100% |
57090
678.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8732
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100026
770.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169741
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21740
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
234065
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
300111
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50295
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
93364
3.45 KIPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
7718
10.3 KIPS |
|
|
Text Classification (Q)
|
93% |
7392
9.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4423
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16633
286.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18650
322.3 IPS |
