Mac mini (Late 2020)
Geekbench AI Score
1819
Single Precision Score
12429
Half Precision Score
10081
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 09:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
994
184.8 IPS |
|
|
Image Classification (HP)
|
100% |
6386
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5707
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4228
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
530
8.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
5651
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68568
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65023
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
99% |
7187
571.7 IPS |
|
|
Object Detection (Q)
|
93% |
6621
528.3 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
12247
145.5 IPS |
|
|
Face Detection (Q)
|
100% |
12291
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3477
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45074
347.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
51298
400.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10076
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119354
153.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113653
146.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2743
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18047
666.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20900
771.8 IPS |
|
|
Text Classification (SP)
|
100% |
413
551.9 IPS |
|
|
Text Classification (HP)
|
100% |
2409
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2411
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2307
39.9 IPS |
