Mac mini (2024)
Geekbench AI Score
11539
Single Precision Score
13586
Half Precision Score
12163
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 31 2026 10:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
5114
951.1 IPS |
|
|
Image Classification (HP)
|
100% |
5306
986.7 IPS |
|
|
Image Classification (Q)
|
96% |
5136
959.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7551
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8508
137.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8072
130.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28805
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33115
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32152
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
5027
398.8 IPS |
|
|
Object Detection (HP)
|
100% |
5494
435.8 IPS |
|
|
Object Detection (Q)
|
91% |
5416
432.8 IPS |
|
|
Face Detection (SP)
|
100% |
13094
155.6 IPS |
|
|
Face Detection (HP)
|
100% |
18177
216.0 IPS |
|
|
Face Detection (Q)
|
100% |
16997
202.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21195
163.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23918
184.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
22428
175.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59149
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72942
93.8 IPS |
|
|
Style Transfer (Q)
|
96% |
70169
90.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12220
451.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13039
481.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11348
419.0 IPS |
|
|
Text Classification (SP)
|
100% |
6657
8.89 KIPS |
|
|
Text Classification (HP)
|
99% |
10114
13.5 KIPS |
|
|
Text Classification (Q)
|
92% |
10000
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5607
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6239
107.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3235
55.9 IPS |
