Mac mini (Late 2020)
Geekbench AI Score
3048
Single Precision Score
5061
Half Precision Score
4439
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Jloloew |
| Upload Date | August 16 2024 02:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2156
400.9 IPS |
|
|
Image Classification (Q)
|
99% |
2032
379.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2207
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
13003
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11139
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1449
114.9 IPS |
|
|
Object Detection (HP)
|
97% |
2275
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1700
135.5 IPS |
|
|
Face Detection (SP)
|
100% |
2798
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
2970
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5309
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10360
80.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
10159
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16107
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25362
32.6 IPS |
|
|
Style Transfer (Q)
|
100% |
25205
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3501
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3182
117.9 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3790
65.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3717
64.2 IPS |
