Mac mini (Late 2020)
Geekbench AI Score
3236
Single Precision Score
16630
Half Precision Score
16279
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 03:35 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
6417
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6016
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9858
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10135
164.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
69490
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66216
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7297
580.4 IPS |
|
|
Object Detection (Q)
|
91% |
6962
556.3 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16948
201.4 IPS |
|
|
Face Detection (Q)
|
100% |
15482
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5789
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48991
377.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
49329
385.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16775
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122620
157.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115722
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3727
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23875
881.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24419
901.7 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5175
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5393
93.2 IPS |
