MacBook Pro (13-inch Late 2020)
Geekbench ML Score
6843
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 06:21 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| 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% |
1770
331.3 IPS |
|
|
Image Classification (F16)
|
100% |
6217
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6420
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
861
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3840
64.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
3833
64.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16525
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
63384
76.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
64282
77.8 IPS |
|
|
Object Detection (F32)
|
100% |
1530
114.3 IPS |
|
|
Object Detection (F16)
|
100% |
3875
289.3 IPS |
|
|
Object Detection (I8)
|
97% |
1487
111.0 IPS |
|
|
Face Detection (F32)
|
100% |
5716
68.0 IPS |
|
|
Face Detection (F16)
|
97% |
11508
136.8 IPS |
|
|
Face Detection (I8)
|
96% |
11582
137.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
12202
94.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
40513
314.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
41321
320.4 IPS |
|
|
Style Transfer (F32)
|
100% |
27947
36.8 IPS |
|
|
Style Transfer (F16)
|
100% |
115009
151.3 IPS |
|
|
Style Transfer (I8)
|
100% |
119913
157.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5056
180.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18263
652.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18320
654.3 IPS |
|
|
Text Classification (F32)
|
100% |
420
603.0 IPS |
|
|
Text Classification (F16)
|
100% |
2500
3.59 KIPS |
|
|
Text Classification (I8)
|
96% |
2243
3.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
670
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2064
38.0 IPS |
|
|
Machine Translation (I8)
|
99% |
650
12.0 IPS |
