Mac mini (Late 2020)
Geekbench AI Score
3228
Single Precision Score
16508
Half Precision Score
16180
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | November 01 2024 10:43 AM |
| Views | 15 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
6351
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6003
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9782
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10177
165.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6551
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
69586
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65941
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
99% |
7309
581.4 IPS |
|
|
Object Detection (Q)
|
91% |
6831
545.8 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16851
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15445
183.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5781
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48545
374.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49164
384.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16761
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122438
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115910
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23613
871.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24179
892.8 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5059
87.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5210
90.0 IPS |
