Mac mini (2024)
Geekbench AI Score
5395
Single Precision Score
37634
Half Precision Score
50596
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TTT3242309j |
| Upload Date | April 10 2025 12:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
385.0 IPS |
|
|
Image Classification (HP)
|
100% |
17865
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
23797
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23455
380.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32559
527.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17172
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122847
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230823
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
20025
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24135
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4638
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
45875
545.1 IPS |
|
|
Face Detection (Q)
|
100% |
63075
749.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8630
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
108246
834.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
180732
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
25796
33.2 IPS |
|
|
Style Transfer (HP)
|
100% |
239339
307.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301457
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46853
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79654
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5910
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5693
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16804
289.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16868
291.5 IPS |
