Mac mini (Late 2020)
Geekbench AI Score
3201
Single Precision Score
16045
Half Precision Score
15638
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | atlasnull |
| Upload Date | April 22 2025 01:23 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
6347
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6030
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9664
156.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9979
161.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6386
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
69797
81.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67419
79.0 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7570
602.2 IPS |
|
|
Object Detection (Q)
|
91% |
6751
539.4 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
16845
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15264
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5672
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48541
374.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49260
384.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16977
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121753
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114913
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3678
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23938
883.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24449
902.8 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3768
65.1 IPS |
