MacBook Pro (13-inch Late 2020)
Geekbench ML Score
6613
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | August 16 2024 03:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5264n) |
| 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% |
1605
300.3 IPS |
|
|
Image Classification (F16)
|
100% |
6061
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6346
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
970
16.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
968
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
16110
19.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
63379
76.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
63123
76.4 IPS |
|
|
Object Detection (F32)
|
100% |
1596
119.2 IPS |
|
|
Object Detection (F16)
|
100% |
4060
303.1 IPS |
|
|
Object Detection (I8)
|
97% |
1556
116.2 IPS |
|
|
Face Detection (F32)
|
100% |
5654
67.2 IPS |
|
|
Face Detection (F16)
|
97% |
12161
144.6 IPS |
|
|
Face Detection (I8)
|
96% |
10666
126.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
11999
93.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
41682
323.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
41832
324.4 IPS |
|
|
Style Transfer (F32)
|
100% |
28704
37.8 IPS |
|
|
Style Transfer (F16)
|
100% |
115982
152.6 IPS |
|
|
Style Transfer (I8)
|
100% |
121124
159.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5175
184.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18033
644.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18078
645.6 IPS |
|
|
Text Classification (F32)
|
100% |
2083
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3525
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3542
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
523
9.63 IPS |
|
|
Machine Translation (F16)
|
100% |
1811
33.3 IPS |
|
|
Machine Translation (I8)
|
99% |
516
9.49 IPS |
