Mac mini (2024)
Geekbench AI Score
14901
Single Precision Score
16541
Half Precision Score
15624
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 15 2025 11:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
6919
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7324
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
7063
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12353
200.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12811
207.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12206
197.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45975
53.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47381
55.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
46585
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
6403
507.9 IPS |
|
|
Object Detection (HP)
|
100% |
7159
567.8 IPS |
|
|
Object Detection (Q)
|
92% |
6777
541.0 IPS |
|
|
Face Detection (SP)
|
100% |
23520
279.5 IPS |
|
|
Face Detection (HP)
|
100% |
25230
299.8 IPS |
|
|
Face Detection (Q)
|
100% |
21430
254.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30933
238.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
31580
243.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
28897
225.7 IPS |
|
|
Style Transfer (SP)
|
100% |
104815
134.7 IPS |
|
|
Style Transfer (HP)
|
100% |
111146
142.9 IPS |
|
|
Style Transfer (Q)
|
96% |
109352
141.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17615
650.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17177
634.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15116
558.2 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5210
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5533
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6026
103.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5973
103.2 IPS |
