Mac mini (2024)
Geekbench AI Score
5758
Single Precision Score
8951
Half Precision Score
6902
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Aaronage |
| Upload Date | December 11 2024 03:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2083
387.3 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.3 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3413
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18817
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32037
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
24243
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
3858
307.2 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8082
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
4649
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8640
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14592
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10213
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35888
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
50639
65.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39310
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7010
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9493
350.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5241
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5219
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5720
98.5 IPS |
|
|
Machine Translation (HP)
|
98% |
8738
151.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8748
151.2 IPS |
