Mac mini (Late 2020)
Geekbench ML Score
2995
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | WrigleyBeard |
| Upload Date | August 17 2024 01:35 AM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1294
242.1 IPS |
|
|
Image Classification (F16)
|
100% |
1671
312.6 IPS |
|
|
Image Classification (I8)
|
99% |
1669
312.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
589
9.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
591
9.87 IPS |
|
|
Image Segmentation (I8)
|
100% |
607
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5629
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12994
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13005
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1323
98.8 IPS |
|
|
Object Detection (F16)
|
100% |
1758
131.2 IPS |
|
|
Object Detection (I8)
|
97% |
1322
98.7 IPS |
|
|
Face Detection (F32)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
4003
47.6 IPS |
|
|
Face Detection (I8)
|
97% |
3945
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5212
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8162
63.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8169
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14657
19.3 IPS |
|
|
Style Transfer (F16)
|
100% |
23954
31.5 IPS |
|
|
Style Transfer (I8)
|
100% |
24223
31.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3478
124.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4592
164.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4633
165.5 IPS |
|
|
Text Classification (F32)
|
100% |
2096
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3363
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3344
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
720
13.2 IPS |
