Mac mini (Late 2020)
Geekbench AI Score
1969
Single Precision Score
12441
Half Precision Score
12644
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | vanboquestaels |
| Upload Date | August 16 2024 09:05 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
999
185.8 IPS |
|
|
Image Classification (HP)
|
100% |
6396
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6559
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4251
68.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4244
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5747
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
68557
80.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
64506
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (HP)
|
99% |
7145
568.4 IPS |
|
|
Object Detection (Q)
|
93% |
6629
528.9 IPS |
|
|
Face Detection (SP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12268
145.8 IPS |
|
|
Face Detection (Q)
|
100% |
12468
148.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3620
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45060
347.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
47359
366.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10047
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119495
153.6 IPS |
|
|
Style Transfer (Q)
|
100% |
124420
159.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18035
665.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
20618
763.9 IPS |
|
|
Text Classification (SP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
93% |
2512
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2322
40.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2306
39.8 IPS |
