Mac mini (2024)
Geekbench AI Score
4816
Single Precision Score
7942
Half Precision Score
6387
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Natrep |
| Upload Date | July 11 2025 09:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2060
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.6 IPS |
|
|
Image Classification (Q)
|
96% |
2329
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3240
52.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9912
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19368
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16736
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
97% |
3749
298.5 IPS |
|
|
Object Detection (Q)
|
94% |
2719
216.7 IPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7539
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4381
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8616
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14624
113.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10273
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21226
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38766
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31907
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7361
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7224
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7313
126.4 IPS |
