Mac mini (2024)
Geekbench AI Score
9920
Single Precision Score
11555
Half Precision Score
10837
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | felixalex2025 |
| Upload Date | June 01 2025 04:01 AM |
| Views | 3 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4684
871.0 IPS |
|
|
Image Classification (HP)
|
100% |
5063
941.6 IPS |
|
|
Image Classification (Q)
|
96% |
4728
882.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7587
123.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8105
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7967
129.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29519
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31884
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31498
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4910
389.5 IPS |
|
|
Object Detection (HP)
|
100% |
5446
431.9 IPS |
|
|
Object Detection (Q)
|
92% |
4979
397.4 IPS |
|
|
Face Detection (SP)
|
100% |
12713
151.1 IPS |
|
|
Face Detection (HP)
|
100% |
16644
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
13564
161.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21768
167.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23455
180.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21599
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60665
78.0 IPS |
|
|
Style Transfer (HP)
|
100% |
71425
91.8 IPS |
|
|
Style Transfer (Q)
|
96% |
69261
89.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12630
466.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12414
458.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11004
406.3 IPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5436
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5419
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3128
54.1 IPS |
