Mac mini (2024)
Geekbench AI Score
13812
Single Precision Score
16018
Half Precision Score
14653
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AlexeySukhanov |
| Upload Date | June 10 2025 03:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6874
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7523
1.40 KIPS |
|
|
Image Classification (Q)
|
96% |
6841
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12175
197.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12790
207.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12079
195.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
46126
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
47387
55.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46541
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
6537
518.5 IPS |
|
|
Object Detection (HP)
|
100% |
7515
596.1 IPS |
|
|
Object Detection (Q)
|
92% |
6487
517.8 IPS |
|
|
Face Detection (SP)
|
100% |
23324
277.1 IPS |
|
|
Face Detection (HP)
|
100% |
23853
283.4 IPS |
|
|
Face Detection (Q)
|
100% |
20535
244.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
32403
249.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
31685
244.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
28834
225.2 IPS |
|
|
Style Transfer (SP)
|
100% |
105892
136.1 IPS |
|
|
Style Transfer (HP)
|
100% |
113000
145.3 IPS |
|
|
Style Transfer (Q)
|
96% |
110673
142.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18338
677.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16832
621.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15026
554.8 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5164
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5139
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2337
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4374
75.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3617
62.5 IPS |
