Mac mini (2024)
Geekbench AI Score
4838
Single Precision Score
7954
Half Precision Score
6322
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hlee25 |
| Upload Date | June 11 2025 06:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
382.9 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
96% |
2304
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3498
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10050
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19502
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16648
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.4 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
7670
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4381
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13995
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9839
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24359
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39482
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32248
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6066
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7194
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
2883
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5202
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5105
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4462
76.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7897
136.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7946
137.3 IPS |
