Mac mini (2024)
Geekbench AI Score
14736
Single Precision Score
16374
Half Precision Score
14807
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 13 2025 01:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
6949
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7283
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6905
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12359
200.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12863
208.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12269
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46059
53.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
47349
55.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46796
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
6424
509.6 IPS |
|
|
Object Detection (HP)
|
100% |
7218
572.5 IPS |
|
|
Object Detection (Q)
|
92% |
6472
516.6 IPS |
|
|
Face Detection (SP)
|
100% |
24000
285.2 IPS |
|
|
Face Detection (HP)
|
100% |
25485
302.8 IPS |
|
|
Face Detection (Q)
|
100% |
21184
251.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
30823
237.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
31669
244.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
28948
226.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104743
134.6 IPS |
|
|
Style Transfer (HP)
|
100% |
110356
141.9 IPS |
|
|
Style Transfer (Q)
|
96% |
108541
140.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16777
619.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16989
627.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14976
553.0 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5141
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5142
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5066
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5563
95.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3854
66.6 IPS |
