Mac mini (2024)
Geekbench AI Score
11397
Single Precision Score
13352
Half Precision Score
12209
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | March 04 2026 04:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5223i) |
| 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% |
5010
931.8 IPS |
|
|
Image Classification (HP)
|
100% |
5372
999.0 IPS |
|
|
Image Classification (Q)
|
96% |
5176
966.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7552
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8291
134.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7681
124.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29092
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33110
38.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32162
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
5022
398.4 IPS |
|
|
Object Detection (HP)
|
100% |
5664
449.2 IPS |
|
|
Object Detection (Q)
|
91% |
5429
433.9 IPS |
|
|
Face Detection (SP)
|
100% |
13007
154.6 IPS |
|
|
Face Detection (HP)
|
100% |
18242
216.8 IPS |
|
|
Face Detection (Q)
|
100% |
16936
201.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21793
167.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24308
187.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
23130
181.0 IPS |
|
|
Style Transfer (SP)
|
100% |
58882
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
73145
94.0 IPS |
|
|
Style Transfer (Q)
|
96% |
65320
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12622
466.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13167
486.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11336
418.6 IPS |
|
|
Text Classification (SP)
|
99% |
6514
8.69 KIPS |
|
|
Text Classification (HP)
|
100% |
10142
13.5 KIPS |
|
|
Text Classification (Q)
|
92% |
9912
13.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
4875
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4980
85.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3689
63.8 IPS |
