Mac mini (2024)
Geekbench AI Score
8291
Single Precision Score
10110
Half Precision Score
9533
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | December 11 2024 05:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4768
886.6 IPS |
|
|
Image Classification (HP)
|
100% |
5107
949.7 IPS |
|
|
Image Classification (Q)
|
97% |
4458
832.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4978
80.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7087
114.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7661
124.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29969
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32152
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30664
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2838
225.1 IPS |
|
|
Object Detection (HP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (Q)
|
91% |
4715
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
13071
155.3 IPS |
|
|
Face Detection (HP)
|
100% |
16221
192.7 IPS |
|
|
Face Detection (Q)
|
100% |
12502
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21550
166.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23935
184.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20140
157.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59737
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72356
93.0 IPS |
|
|
Style Transfer (Q)
|
96% |
68331
88.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12678
468.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13705
506.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11108
410.2 IPS |
|
|
Text Classification (SP)
|
100% |
3099
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1193
20.6 IPS |
