Mac mini (2024)
Geekbench AI Score
5349
Single Precision Score
8965
Half Precision Score
6978
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Merlin12 |
| Upload Date | June 24 2025 01:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.02 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
2986
555.2 IPS |
|
|
Image Classification (Q)
|
96% |
2095
391.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2277
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3453
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3899
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17234
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32189
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24445
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
4679
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
7931
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4563
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8598
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14604
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10344
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25513
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
50186
64.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39128
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9958
367.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5946
219.6 IPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5155
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5247
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5588
96.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8950
154.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8999
155.5 IPS |
