Mac mini (Late 2020)
Geekbench ML Score
6389
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2024 11:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 3.19 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% |
1747
327.0 IPS |
|
|
Image Classification (F16)
|
100% |
6275
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6440
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
833
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
832
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16182
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
61045
73.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
63594
77.0 IPS |
|
|
Object Detection (F32)
|
100% |
1526
113.9 IPS |
|
|
Object Detection (F16)
|
100% |
4099
306.0 IPS |
|
|
Object Detection (I8)
|
97% |
1487
111.0 IPS |
|
|
Face Detection (F32)
|
100% |
6116
72.7 IPS |
|
|
Face Detection (F16)
|
97% |
12530
149.0 IPS |
|
|
Face Detection (I8)
|
96% |
12377
147.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
11980
92.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
40773
316.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
41706
323.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28954
38.1 IPS |
|
|
Style Transfer (F16)
|
100% |
115997
152.6 IPS |
|
|
Style Transfer (I8)
|
100% |
119852
157.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5378
192.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18260
652.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18367
655.9 IPS |
|
|
Text Classification (F32)
|
100% |
824
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
2385
3.43 KIPS |
|
|
Text Classification (I8)
|
96% |
2584
3.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
680
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1993
36.7 IPS |
|
|
Machine Translation (I8)
|
99% |
621
11.4 IPS |
