Mac mini (2024)
Geekbench AI Score
5389
Single Precision Score
8995
Half Precision Score
6911
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | July 02 2025 02:44 PM |
| Views | 3 |
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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (Q)
|
96% |
2174
405.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3462
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3921
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17173
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31679
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23749
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4680
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
7925
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
4602
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8642
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14060
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10151
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25854
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50752
65.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38524
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9960
367.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5488
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
2895
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5245
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5246
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5623
96.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9215
159.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8921
154.2 IPS |
