MacBook Pro (13-inch Late 2020)
Geekbench ML Score
1663
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 08 2023 02:37 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
941
176.0 IPS |
|
|
Image Classification (F16)
|
100% |
954
178.6 IPS |
|
|
Image Classification (I8)
|
99% |
941
176.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
439
7.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
407
6.81 IPS |
|
|
Image Segmentation (I8)
|
100% |
409
6.82 IPS |
|
|
Pose Estimation (F32)
|
100% |
5480
6.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
10203
12.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
10178
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1024
76.4 IPS |
|
|
Object Detection (F16)
|
100% |
1025
76.5 IPS |
|
|
Object Detection (I8)
|
97% |
931
69.5 IPS |
|
|
Face Detection (F32)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (F16)
|
100% |
1691
20.1 IPS |
|
|
Face Detection (I8)
|
99% |
1634
19.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3247
25.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
3286
25.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
3351
26.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10164
13.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11877
15.6 IPS |
|
|
Style Transfer (I8)
|
100% |
11868
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2542
90.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2150
76.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2148
76.7 IPS |
|
|
Text Classification (F32)
|
100% |
311
447.4 IPS |
|
|
Text Classification (F16)
|
100% |
457
657.3 IPS |
|
|
Text Classification (I8)
|
96% |
458
658.3 IPS |
|
|
Machine Translation (F32)
|
100% |
821
15.1 IPS |
|
|
Machine Translation (F16)
|
99% |
941
17.3 IPS |
|
|
Machine Translation (I8)
|
99% |
819
15.1 IPS |
