Mac mini (2024)
Geekbench AI Score
10176
Single Precision Score
12439
Half Precision Score
11762
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | amalukov |
| Upload Date | September 07 2025 09:53 AM |
| Views | 17 |
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 | 3.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4777
888.4 IPS |
|
|
Image Classification (HP)
|
100% |
5211
969.1 IPS |
|
|
Image Classification (Q)
|
96% |
4765
889.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7492
121.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8570
138.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8201
132.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29102
34.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33424
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
32468
38.0 IPS |
|
|
Object Detection (SP)
|
100% |
4916
390.0 IPS |
|
|
Object Detection (HP)
|
100% |
5452
432.5 IPS |
|
|
Object Detection (Q)
|
92% |
5101
407.2 IPS |
|
|
Face Detection (SP)
|
100% |
11945
141.9 IPS |
|
|
Face Detection (HP)
|
100% |
15604
185.4 IPS |
|
|
Face Detection (Q)
|
100% |
13408
159.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21799
167.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24092
185.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
22340
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59423
76.4 IPS |
|
|
Style Transfer (HP)
|
100% |
73082
93.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69466
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12532
462.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12928
477.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11294
417.0 IPS |
|
|
Text Classification (SP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5724
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6242
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5361
92.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5339
92.3 IPS |
