Mac mini (Late 2020)
Geekbench AI Score
3237
Single Precision Score
5305
Half Precision Score
4403
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | November 01 2024 10:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2596
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6555
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13939
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12079
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1525
120.9 IPS |
|
|
Object Detection (HP)
|
97% |
2441
194.3 IPS |
|
|
Object Detection (Q)
|
94% |
1802
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5569
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5844
45.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11086
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7700
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16830
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26096
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21941
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4538
167.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3349
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3735
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4272
73.8 IPS |
