Mac mini (2024)
Geekbench AI Score
5402
Single Precision Score
9051
Half Precision Score
7064
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ekatak |
| Upload Date | August 03 2025 10:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
3017
561.0 IPS |
|
|
Image Classification (Q)
|
96% |
2143
400.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2319
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3554
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3904
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17284
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32190
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24600
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8122
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14540
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10372
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25935
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50714
65.2 IPS |
|
|
Style Transfer (Q)
|
96% |
39963
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5952
219.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9947
367.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6010
221.9 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5131
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5246
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5700
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9183
158.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9123
157.7 IPS |
