MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3223
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 12:04 PM |
| Views | 1 |
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 | 3.12 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% |
1807
338.2 IPS |
|
|
Image Classification (F16)
|
100% |
1751
327.6 IPS |
|
|
Image Classification (I8)
|
99% |
1918
358.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
837
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
873
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
865
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
15875
19.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
15310
18.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
17556
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1527
114.0 IPS |
|
|
Object Detection (F16)
|
100% |
1332
99.4 IPS |
|
|
Object Detection (I8)
|
97% |
1478
110.3 IPS |
|
|
Face Detection (F32)
|
100% |
6026
71.6 IPS |
|
|
Face Detection (F16)
|
98% |
5676
67.5 IPS |
|
|
Face Detection (I8)
|
97% |
6796
80.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12214
94.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
12045
93.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
12446
96.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28990
38.1 IPS |
|
|
Style Transfer (F16)
|
100% |
33790
44.4 IPS |
|
|
Style Transfer (I8)
|
100% |
33789
44.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5196
185.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5816
207.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4151
148.3 IPS |
|
|
Text Classification (F32)
|
100% |
644
926.0 IPS |
|
|
Text Classification (F16)
|
100% |
329
473.1 IPS |
|
|
Text Classification (I8)
|
96% |
305
438.3 IPS |
|
|
Machine Translation (F32)
|
100% |
702
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
698
12.8 IPS |
|
|
Machine Translation (I8)
|
99% |
646
11.9 IPS |
