Mac mini (2024)
Geekbench AI Score
4826
Single Precision Score
37926
Half Precision Score
54114
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 09:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2099
390.3 IPS |
|
|
Image Classification (HP)
|
100% |
18570
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
27749
5.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22106
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30486
494.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9908
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123384
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231468
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
19416
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
26751
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4242
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
44808
532.4 IPS |
|
|
Face Detection (Q)
|
100% |
67816
805.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8643
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100173
771.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
172165
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21705
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236358
303.8 IPS |
|
|
Style Transfer (Q)
|
96% |
300364
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51328
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86745
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6753
9.01 KIPS |
|
|
Text Classification (Q)
|
93% |
7047
9.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17027
293.3 IPS |
|
|
Machine Translation (Q)
|
98% |
19178
331.4 IPS |
