Mac mini (2024)
Geekbench AI Score
5214
Single Precision Score
8948
Half Precision Score
6935
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | deutros |
| Upload Date | August 18 2025 03:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3025
562.5 IPS |
|
|
Image Classification (Q)
|
96% |
2153
402.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2279
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3583
58.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3894
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16008
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31916
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24369
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2422
192.1 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
4429
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
7816
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4627
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14176
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10233
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24447
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48709
62.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38779
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5849
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10072
371.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5721
211.3 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5276
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5198
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5364
92.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8761
151.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8784
151.8 IPS |
