Mac mini (2024)
Geekbench AI Score
10566
Single Precision Score
12493
Half Precision Score
11572
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | ServicioIT |
| Upload Date | February 04 2026 12:17 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
4717
877.2 IPS |
|
|
Image Classification (HP)
|
100% |
5173
962.0 IPS |
|
|
Image Classification (Q)
|
96% |
4628
864.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7628
123.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8491
137.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8084
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28960
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33082
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32228
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4892
388.0 IPS |
|
|
Object Detection (HP)
|
100% |
5374
426.3 IPS |
|
|
Object Detection (Q)
|
92% |
5015
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
12911
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
17543
208.4 IPS |
|
|
Face Detection (Q)
|
100% |
13910
165.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21207
163.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23582
181.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
21463
167.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60456
77.7 IPS |
|
|
Style Transfer (HP)
|
100% |
72309
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
70039
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12174
449.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12420
458.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10736
396.4 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
5899
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5016
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5415
93.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5397
93.3 IPS |
