Mac mini (2024)
Geekbench AI Score
5380
Single Precision Score
8963
Half Precision Score
6920
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Lingyis |
| Upload Date | November 24 2025 03:19 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.4 IPS |
|
|
Image Classification (Q)
|
96% |
2162
403.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3580
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16941
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32042
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24043
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
97% |
3802
302.7 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4729
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
7664
91.1 IPS |
|
|
Face Detection (Q)
|
100% |
4587
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13911
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9976
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25574
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50180
64.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38477
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9999
369.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5626
207.8 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5263
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5588
96.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8951
154.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8944
154.6 IPS |
