Mac mini (Late 2020)
Geekbench AI Score
3206
Single Precision Score
14619
Half Precision Score
14413
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mafrmt00 |
| Upload Date | January 20 2025 04:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
6418
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6024
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6639
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6798
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
69807
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66823
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7371
586.3 IPS |
|
|
Object Detection (Q)
|
91% |
7052
563.5 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16059
190.8 IPS |
|
|
Face Detection (Q)
|
100% |
15411
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5750
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48710
375.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
49601
387.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16752
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122082
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
115136
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3719
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23823
879.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24511
905.1 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2313
40.0 IPS |
