Mac mini (2024)
Geekbench AI Score
5323
Single Precision Score
8910
Half Precision Score
6822
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dylanschell |
| Upload Date | November 15 2025 03:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.86 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1880
349.6 IPS |
|
|
Image Classification (HP)
|
100% |
2835
527.3 IPS |
|
|
Image Classification (Q)
|
96% |
2003
374.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3505
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14662
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31587
36.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24369
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2582
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
4271
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
7840
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4356
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8111
62.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14009
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9649
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29367
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54715
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
41223
53.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9716
358.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5339
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5616
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5955
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5415
93.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9225
159.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8985
155.3 IPS |
