Mac mini (2024)
Geekbench AI Score
4743
Single Precision Score
36613
Half Precision Score
52533
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 05:19 PM |
| Views | 3 |
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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
17389
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
26681
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22105
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30412
493.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10084
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123729
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
233731
273.9 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
18525
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25901
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4036
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
43477
516.6 IPS |
|
|
Face Detection (Q)
|
100% |
61787
734.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100012
770.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168545
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25489
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234599
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300160
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5775
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49687
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86348
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3913
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16483
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18736
323.8 IPS |
