Mac mini (2024)
Geekbench AI Score
4743
Single Precision Score
7813
Half Precision Score
6303
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | molendinar |
| Upload Date | March 07 2025 08:53 PM |
| Views | 4 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3279
609.7 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3245
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3627
58.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10113
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19093
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16547
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2738
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
3946
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7455
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4404
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14712
113.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10268
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25301
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38349
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31808
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6861
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3010
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5437
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5371
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7020
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7047
121.8 IPS |
