Mac mini (Late 2020)
Geekbench ML Score
3464
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:48 PM |
| Views | 2 |
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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1801
337.0 IPS |
|
|
Image Classification (F16)
|
100% |
1710
319.9 IPS |
|
|
Image Classification (I8)
|
99% |
1669
312.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
850
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
925
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
917
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16626
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
18057
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17787
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1495
111.6 IPS |
|
|
Object Detection (F16)
|
100% |
1481
110.5 IPS |
|
|
Object Detection (I8)
|
97% |
1507
112.5 IPS |
|
|
Face Detection (F32)
|
100% |
5764
68.5 IPS |
|
|
Face Detection (F16)
|
98% |
7145
85.0 IPS |
|
|
Face Detection (I8)
|
97% |
6331
75.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12465
96.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
14058
109.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
12677
98.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28076
36.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34994
46.0 IPS |
|
|
Style Transfer (I8)
|
100% |
34391
45.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5388
192.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5921
211.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6583
235.1 IPS |
|
|
Text Classification (F32)
|
100% |
604
867.9 IPS |
|
|
Text Classification (F16)
|
100% |
548
787.4 IPS |
|
|
Text Classification (I8)
|
96% |
541
777.3 IPS |
|
|
Machine Translation (F32)
|
100% |
680
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
711
13.1 IPS |
|
|
Machine Translation (I8)
|
99% |
657
12.1 IPS |
