Mac mini (Late 2020)
Geekbench AI Score
3188
Single Precision Score
14621
Half Precision Score
14024
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jloloew |
| Upload Date | September 07 2024 04:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
6310
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5863
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6626
107.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6698
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6469
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
69638
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65997
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7385
587.5 IPS |
|
|
Object Detection (Q)
|
91% |
6885
550.2 IPS |
|
|
Face Detection (SP)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
16952
201.4 IPS |
|
|
Face Detection (Q)
|
100% |
13483
160.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5763
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48222
371.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49113
383.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16778
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121127
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
114163
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23436
865.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24354
899.3 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3926
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2282
39.4 IPS |
