Mac mini (Late 2020)
Geekbench AI Score
3219
Single Precision Score
14689
Half Precision Score
14100
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 11:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
6360
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5992
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6636
107.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6754
109.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6551
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
69491
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66961
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7247
576.5 IPS |
|
|
Object Detection (Q)
|
91% |
6726
537.4 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16892
200.7 IPS |
|
|
Face Detection (Q)
|
100% |
13232
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5852
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48198
371.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
49804
389.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16726
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122300
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
115868
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23701
875.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24107
890.2 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2409
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2330
40.3 IPS |
