Mac mini (2024)
Geekbench AI Score
4707
Single Precision Score
7750
Half Precision Score
6297
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | WilliamLu |
| Upload Date | March 08 2025 09:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.5 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3625
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10093
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19037
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16586
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
3914
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7325
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4431
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14776
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10308
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25215
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38208
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31798
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6851
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4775
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5334
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7047
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7023
121.4 IPS |
