Mac mini (Late 2020)
Geekbench AI Score
4825
Single Precision Score
5741
Half Precision Score
5113
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lordhan |
| Upload Date | February 02 2025 08:08 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2242
416.9 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.9 IPS |
|
|
Image Classification (Q)
|
97% |
2289
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2684
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3671
59.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3738
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17074
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18788
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17356
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (Q)
|
91% |
2293
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
6435
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
8030
95.4 IPS |
|
|
Face Detection (Q)
|
100% |
5782
68.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12066
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13409
103.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11499
89.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28950
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35052
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33119
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6627
244.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7408
273.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5611
207.2 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
730
12.6 IPS |
