Mac mini (2024)
Geekbench AI Score
14759
Single Precision Score
16500
Half Precision Score
15403
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AlexeySukhanov |
| Upload Date | October 29 2025 06:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6899
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7477
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
6839
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12177
197.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12731
206.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12020
194.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45987
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47304
55.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46567
54.5 IPS |
|
|
Object Detection (SP)
|
100% |
6402
507.8 IPS |
|
|
Object Detection (HP)
|
100% |
7217
572.5 IPS |
|
|
Object Detection (Q)
|
92% |
6368
508.3 IPS |
|
|
Face Detection (SP)
|
100% |
23373
277.7 IPS |
|
|
Face Detection (HP)
|
100% |
25445
302.3 IPS |
|
|
Face Detection (Q)
|
100% |
21390
254.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
30890
238.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
31647
243.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
28822
225.1 IPS |
|
|
Style Transfer (SP)
|
100% |
106340
136.7 IPS |
|
|
Style Transfer (HP)
|
100% |
110685
142.3 IPS |
|
|
Style Transfer (Q)
|
96% |
108522
140.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16480
608.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16579
612.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15146
559.3 IPS |
|
|
Text Classification (SP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5187
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5460
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5923
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5869
101.4 IPS |
