Mac mini (2024)
Geekbench AI Score
4690
Single Precision Score
7767
Half Precision Score
6278
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 07:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1996
371.2 IPS |
|
|
Image Classification (HP)
|
100% |
3280
609.9 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3237
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3615
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18960
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16478
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3793
301.9 IPS |
|
|
Object Detection (Q)
|
94% |
2735
218.0 IPS |
|
|
Face Detection (SP)
|
100% |
3861
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4408
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8236
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14657
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10244
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24850
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38149
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31636
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5725
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6798
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4772
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5593
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5525
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3876
66.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6707
115.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6732
116.3 IPS |
