Mac mini (2024)
Geekbench AI Score
14546
Single Precision Score
15442
Half Precision Score
14768
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 08:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7107
1.32 KIPS |
|
|
Image Classification (HP)
|
100% |
7560
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
6758
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12029
195.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12726
206.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12101
196.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46713
54.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47508
55.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
46581
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
6390
506.9 IPS |
|
|
Object Detection (HP)
|
100% |
7166
568.4 IPS |
|
|
Object Detection (Q)
|
92% |
6441
514.1 IPS |
|
|
Face Detection (SP)
|
100% |
24256
288.2 IPS |
|
|
Face Detection (HP)
|
100% |
26159
310.8 IPS |
|
|
Face Detection (Q)
|
100% |
21355
253.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
31273
240.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31651
243.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
28850
225.3 IPS |
|
|
Style Transfer (SP)
|
100% |
104723
134.6 IPS |
|
|
Style Transfer (HP)
|
100% |
110181
141.6 IPS |
|
|
Style Transfer (Q)
|
96% |
108629
140.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17098
631.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16713
617.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15084
557.0 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5198
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5144
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2971
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3874
66.9 IPS |
