Mac mini (Late 2020)
Geekbench AI Score
2829
Single Precision Score
4275
Half Precision Score
3707
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 09:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
1702
316.6 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1677
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5872
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13555
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11744
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
1949
155.2 IPS |
|
|
Object Detection (Q)
|
94% |
1521
121.2 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4028
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
2617
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5252
40.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8222
63.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6184
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15530
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24882
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20898
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3370
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3408
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3604
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3068
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3060
52.9 IPS |
