Mac mini (2024)
Geekbench AI Score
5746
Single Precision Score
36807
Half Precision Score
49539
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | videonutter |
| Upload Date | December 24 2024 04:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17727
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
22150
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23570
382.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32080
520.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18874
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123495
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231286
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
19771
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23790
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
44482
528.5 IPS |
|
|
Face Detection (Q)
|
100% |
63810
758.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8749
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
112015
863.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177455
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35768
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237574
305.4 IPS |
|
|
Style Transfer (Q)
|
96% |
302188
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46690
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78496
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4977
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5093
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5692
98.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16266
280.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16646
287.7 IPS |
