Mac mini (2024)
Geekbench AI Score
12996
Single Precision Score
14961
Half Precision Score
12837
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 08:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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, 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% |
7233
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
7679
1.43 KIPS |
|
|
Image Classification (Q)
|
97% |
6530
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10802
175.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11280
182.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11428
185.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
46355
54.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48437
56.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45875
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
6880
545.7 IPS |
|
|
Object Detection (HP)
|
100% |
7288
578.1 IPS |
|
|
Object Detection (Q)
|
91% |
6095
487.0 IPS |
|
|
Face Detection (SP)
|
100% |
23901
284.0 IPS |
|
|
Face Detection (HP)
|
100% |
25188
299.3 IPS |
|
|
Face Detection (Q)
|
100% |
18695
222.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
31345
241.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33377
257.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
27765
217.0 IPS |
|
|
Style Transfer (SP)
|
100% |
104963
134.9 IPS |
|
|
Style Transfer (HP)
|
100% |
113467
145.9 IPS |
|
|
Style Transfer (Q)
|
96% |
107340
138.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17915
661.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17767
656.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14461
534.0 IPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5272
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1404
24.3 IPS |
