Mac mini (2024)
Geekbench AI Score
10237
Single Precision Score
12168
Half Precision Score
11204
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 03:06 PM |
| Views | 5 |
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 | 4.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4236
787.7 IPS |
|
|
Image Classification (HP)
|
100% |
4642
863.3 IPS |
|
|
Image Classification (Q)
|
96% |
3813
712.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6559
106.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7805
126.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7025
113.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29022
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32454
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31221
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4864
385.9 IPS |
|
|
Object Detection (HP)
|
100% |
5355
424.8 IPS |
|
|
Object Detection (Q)
|
92% |
5020
400.7 IPS |
|
|
Face Detection (SP)
|
100% |
12958
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
17313
205.7 IPS |
|
|
Face Detection (Q)
|
100% |
13944
165.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21110
162.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23528
181.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
22139
172.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60121
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72529
93.2 IPS |
|
|
Style Transfer (Q)
|
96% |
69616
89.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12001
443.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12417
458.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11035
407.5 IPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5720
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5805
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5009
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5389
92.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5395
93.2 IPS |
