Mac mini (2024)
Geekbench AI Score
10052
Single Precision Score
12011
Half Precision Score
11121
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | December 18 2025 03:15 PM |
| Views | 7 |
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 | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4374
813.5 IPS |
|
|
Image Classification (HP)
|
100% |
4823
896.9 IPS |
|
|
Image Classification (Q)
|
96% |
4260
795.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7435
120.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8210
133.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7875
127.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
28259
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32348
37.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31614
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
4542
360.3 IPS |
|
|
Object Detection (HP)
|
100% |
5106
405.0 IPS |
|
|
Object Detection (Q)
|
92% |
4724
377.1 IPS |
|
|
Face Detection (SP)
|
100% |
12509
148.6 IPS |
|
|
Face Detection (HP)
|
100% |
16708
198.5 IPS |
|
|
Face Detection (Q)
|
100% |
13557
161.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20338
156.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23341
179.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
21019
164.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58422
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
70071
90.1 IPS |
|
|
Style Transfer (Q)
|
96% |
68253
88.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11502
424.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11537
426.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10274
379.4 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
6012
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5782
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5041
86.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4999
86.4 IPS |
