Mac mini (Late 2020)
Geekbench AI Score
2849
Single Precision Score
4306
Half Precision Score
3572
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ijunghaertchen |
| Upload Date | September 13 2024 09:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
1690
314.2 IPS |
|
|
Image Classification (Q)
|
99% |
1694
315.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1169
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5824
6.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
13526
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11552
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
1954
155.5 IPS |
|
|
Object Detection (Q)
|
94% |
1523
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4083
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
2660
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5231
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8136
62.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
3870
29.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15715
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24965
32.1 IPS |
|
|
Style Transfer (Q)
|
100% |
24977
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3385
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3370
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3626
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1880
32.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3097
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.4 IPS |
