Mac mini (2024)
Geekbench AI Score
9762
Single Precision Score
11554
Half Precision Score
10835
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | September 09 2025 11:38 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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% |
4649
864.6 IPS |
|
|
Image Classification (HP)
|
100% |
4954
921.4 IPS |
|
|
Image Classification (Q)
|
96% |
4696
876.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7576
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8292
134.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7928
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28787
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
32946
38.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
32076
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4830
383.1 IPS |
|
|
Object Detection (HP)
|
100% |
5274
418.3 IPS |
|
|
Object Detection (Q)
|
92% |
4967
396.5 IPS |
|
|
Face Detection (SP)
|
100% |
12923
153.5 IPS |
|
|
Face Detection (HP)
|
100% |
17399
206.7 IPS |
|
|
Face Detection (Q)
|
100% |
13898
165.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20998
161.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23596
181.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
21403
167.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59580
76.6 IPS |
|
|
Style Transfer (HP)
|
100% |
72334
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
69676
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12053
445.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12378
457.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10688
394.7 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5351
7.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3022
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3095
53.5 IPS |
