Mac mini (2024)
Geekbench AI Score
9936
Single Precision Score
11609
Half Precision Score
10869
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | prashidi |
| Upload Date | June 16 2025 03:33 AM |
| Views | 11 |
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% |
4808
894.1 IPS |
|
|
Image Classification (HP)
|
100% |
5091
946.8 IPS |
|
|
Image Classification (Q)
|
96% |
4774
891.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7556
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8053
130.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7925
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29727
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31851
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31406
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
5086
403.4 IPS |
|
|
Object Detection (HP)
|
100% |
5661
449.0 IPS |
|
|
Object Detection (Q)
|
92% |
5041
402.4 IPS |
|
|
Face Detection (SP)
|
100% |
12646
150.3 IPS |
|
|
Face Detection (HP)
|
100% |
16487
195.9 IPS |
|
|
Face Detection (Q)
|
100% |
13559
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21480
165.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23324
179.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21545
168.3 IPS |
|
|
Style Transfer (SP)
|
100% |
60245
77.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71199
91.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68698
88.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12902
476.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12447
459.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11467
423.4 IPS |
|
|
Text Classification (SP)
|
100% |
2985
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5307
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3275
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3147
54.4 IPS |
