MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3423
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 11:23 AM |
| 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% |
1698
317.7 IPS |
|
|
Image Classification (F16)
|
100% |
1701
318.4 IPS |
|
|
Image Classification (I8)
|
99% |
1690
316.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
832
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
920
15.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
16212
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
18021
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17632
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1516
113.1 IPS |
|
|
Object Detection (F16)
|
100% |
1461
109.1 IPS |
|
|
Object Detection (I8)
|
97% |
1435
107.1 IPS |
|
|
Face Detection (F32)
|
100% |
6013
71.5 IPS |
|
|
Face Detection (F16)
|
98% |
6869
81.7 IPS |
|
|
Face Detection (I8)
|
97% |
6829
81.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12105
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
13801
107.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
12555
97.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28690
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
32411
42.6 IPS |
|
|
Style Transfer (I8)
|
100% |
34195
45.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6149
219.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5977
213.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6170
220.4 IPS |
|
|
Text Classification (F32)
|
100% |
492
707.2 IPS |
|
|
Text Classification (F16)
|
100% |
543
780.0 IPS |
|
|
Text Classification (I8)
|
96% |
541
777.9 IPS |
|
|
Machine Translation (F32)
|
100% |
670
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
707
13.0 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
