Mac mini (2024)
Geekbench AI Score
4775
Single Precision Score
7826
Half Precision Score
6353
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 30 2025 06:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
3281
610.1 IPS |
|
|
Image Classification (Q)
|
96% |
2313
431.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3169
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3662
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10093
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19071
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16616
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2752
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
7675
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4534
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8433
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14869
114.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10415
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25463
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38506
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32086
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6852
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4781
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
3077
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5457
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5381
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6959
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7096
122.6 IPS |
