Mac mini (2024)
Geekbench AI Score
4758
Single Precision Score
36468
Half Precision Score
51761
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 30 2025 06:25 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2055
382.1 IPS |
|
|
Image Classification (HP)
|
100% |
17937
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
25256
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22089
358.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30398
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10095
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123667
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
234419
274.8 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
18175
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26155
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
39013
463.6 IPS |
|
|
Face Detection (Q)
|
100% |
61804
734.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8428
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99366
765.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168737
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25558
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235907
303.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300236
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5795
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50623
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83130
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6121
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6239
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16488
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18060
312.1 IPS |
