Mac mini (Late 2020)
Geekbench ML Score
6924
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:17 PM |
| Views | 1 |
System Information
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1781
333.3 IPS |
|
|
Image Classification (F16)
|
100% |
6224
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6481
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3838
64.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
3838
64.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16373
19.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
63205
76.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
64084
77.6 IPS |
|
|
Object Detection (F32)
|
100% |
1535
114.6 IPS |
|
|
Object Detection (F16)
|
100% |
4084
304.9 IPS |
|
|
Object Detection (I8)
|
97% |
1496
111.7 IPS |
|
|
Face Detection (F32)
|
100% |
6019
71.6 IPS |
|
|
Face Detection (F16)
|
97% |
11682
138.9 IPS |
|
|
Face Detection (I8)
|
96% |
10735
127.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12209
94.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
40780
316.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
44856
347.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28705
37.8 IPS |
|
|
Style Transfer (F16)
|
100% |
115595
152.1 IPS |
|
|
Style Transfer (I8)
|
100% |
119680
157.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5311
189.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18143
648.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18317
654.2 IPS |
|
|
Text Classification (F32)
|
100% |
518
743.8 IPS |
|
|
Text Classification (F16)
|
100% |
2267
3.26 KIPS |
|
|
Text Classification (I8)
|
96% |
2301
3.31 KIPS |
|
|
Machine Translation (F32)
|
100% |
676
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2059
37.9 IPS |
|
|
Machine Translation (I8)
|
99% |
656
12.1 IPS |
