Mac mini (Late 2020)
Geekbench AI Score
2836
Single Precision Score
4282
Half Precision Score
3572
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | LuckyAdrian |
| Upload Date | August 15 2024 05:10 PM |
| Views | 8 |
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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1270
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.3 IPS |
|
|
Image Classification (Q)
|
99% |
1689
315.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1177
19.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5796
6.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12458
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11426
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
1947
155.0 IPS |
|
|
Object Detection (Q)
|
94% |
1506
120.1 IPS |
|
|
Face Detection (SP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
2604
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5162
39.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8093
62.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
3937
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15655
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24729
31.8 IPS |
|
|
Style Transfer (Q)
|
100% |
25078
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3356
123.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4652
171.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3341
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1929
33.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3163
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3156
54.5 IPS |
