Mac mini (Late 2020)
Geekbench AI Score
3039
Single Precision Score
5143
Half Precision Score
4245
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Jloloew |
| Upload Date | September 07 2024 04:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
1282
238.3 IPS |
|
|
Image Classification (HP)
|
100% |
2087
388.1 IPS |
|
|
Image Classification (Q)
|
96% |
1556
290.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2528
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5837
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13527
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11002
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
2248
179.0 IPS |
|
|
Object Detection (Q)
|
94% |
1774
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
2703
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
4982
59.2 IPS |
|
|
Face Detection (Q)
|
100% |
3054
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5695
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10795
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7494
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16513
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25638
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21759
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3353
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2339
40.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3785
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3813
65.9 IPS |
