Mac mini (2024)
Geekbench AI Score
9692
Single Precision Score
11588
Half Precision Score
11059
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 25 2025 05:35 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4413
820.7 IPS |
|
|
Image Classification (HP)
|
100% |
5004
930.7 IPS |
|
|
Image Classification (Q)
|
96% |
4628
864.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7369
119.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8263
134.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7902
128.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28523
33.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31455
36.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
30987
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (HP)
|
100% |
5384
427.1 IPS |
|
|
Object Detection (Q)
|
92% |
4793
382.6 IPS |
|
|
Face Detection (SP)
|
100% |
12434
147.7 IPS |
|
|
Face Detection (HP)
|
100% |
16316
193.9 IPS |
|
|
Face Detection (Q)
|
100% |
13425
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20269
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23041
177.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
20779
162.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58794
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
69880
89.8 IPS |
|
|
Style Transfer (Q)
|
96% |
67873
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11976
442.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12190
450.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10923
403.3 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5533
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5633
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3255
56.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4325
74.7 IPS |
