Mac mini (Late 2020)
Geekbench AI Score
2832
Single Precision Score
4265
Half Precision Score
3712
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 07:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (Q)
|
96% |
1278
238.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1678
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5865
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13563
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11746
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
97% |
1957
155.8 IPS |
|
|
Object Detection (Q)
|
94% |
1523
121.4 IPS |
|
|
Face Detection (SP)
|
100% |
2408
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (Q)
|
100% |
2625
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5254
40.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8198
63.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6187
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15593
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24749
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20878
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3368
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4282
158.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3407
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3064
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3075
53.1 IPS |
