Mac mini (Late 2020)
Geekbench AI Score
1849
Single Precision Score
12499
Half Precision Score
12671
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | August 17 2024 02:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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
184.9 IPS |
|
|
Image Classification (HP)
|
100% |
6374
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6549
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4259
69.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
4285
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
68547
80.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
65345
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (HP)
|
99% |
7135
567.5 IPS |
|
|
Object Detection (Q)
|
93% |
6612
527.6 IPS |
|
|
Face Detection (SP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12234
145.4 IPS |
|
|
Face Detection (Q)
|
100% |
12568
149.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3389
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44924
346.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
47132
364.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9967
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119194
153.2 IPS |
|
|
Style Transfer (Q)
|
100% |
126840
163.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2797
103.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18027
665.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20575
762.3 IPS |
|
|
Text Classification (SP)
|
100% |
488
651.5 IPS |
|
|
Text Classification (HP)
|
100% |
2561
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2470
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2318
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2306
39.9 IPS |
