Mac mini (2024)
Geekbench AI Score
14411
Single Precision Score
16176
Half Precision Score
15275
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 04:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
7240
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7597
1.41 KIPS |
|
|
Image Classification (Q)
|
96% |
6812
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12088
196.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12566
203.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12207
197.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
44411
51.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
49464
57.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
47534
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
6518
517.1 IPS |
|
|
Object Detection (HP)
|
100% |
6947
551.0 IPS |
|
|
Object Detection (Q)
|
92% |
6815
544.0 IPS |
|
|
Face Detection (SP)
|
100% |
23515
279.4 IPS |
|
|
Face Detection (HP)
|
100% |
26236
311.7 IPS |
|
|
Face Detection (Q)
|
100% |
21697
257.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30165
232.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32123
247.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
29261
228.6 IPS |
|
|
Style Transfer (SP)
|
100% |
101761
130.8 IPS |
|
|
Style Transfer (HP)
|
100% |
112905
145.1 IPS |
|
|
Style Transfer (Q)
|
96% |
109429
141.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16256
600.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17451
644.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15486
571.8 IPS |
|
|
Text Classification (SP)
|
100% |
3404
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5725
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3819
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3829
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4169
72.0 IPS |
