MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3403
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 12:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1591
297.8 IPS |
|
|
Image Classification (F16)
|
100% |
1822
341.0 IPS |
|
|
Image Classification (I8)
|
99% |
1771
331.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
647
10.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
875
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
15404
18.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17966
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17638
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1509
112.7 IPS |
|
|
Object Detection (F16)
|
100% |
1496
111.7 IPS |
|
|
Object Detection (I8)
|
97% |
1501
112.1 IPS |
|
|
Face Detection (F32)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (F16)
|
98% |
6602
78.5 IPS |
|
|
Face Detection (I8)
|
97% |
6554
77.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12346
95.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12422
96.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
12671
98.3 IPS |
|
|
Style Transfer (F32)
|
100% |
28788
37.9 IPS |
|
|
Style Transfer (F16)
|
100% |
34906
45.9 IPS |
|
|
Style Transfer (I8)
|
100% |
33925
44.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5248
187.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5984
213.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4821
172.2 IPS |
|
|
Text Classification (F32)
|
100% |
1019
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
584
839.0 IPS |
|
|
Text Classification (I8)
|
96% |
453
650.7 IPS |
|
|
Machine Translation (F32)
|
100% |
686
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (I8)
|
99% |
649
11.9 IPS |
