MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3002
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 05:11 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.19 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1277
238.9 IPS |
|
|
Image Classification (F16)
|
100% |
1650
308.8 IPS |
|
|
Image Classification (I8)
|
99% |
1640
306.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
597
9.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
600
10.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
603
10.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5586
6.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
12371
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12871
15.6 IPS |
|
|
Object Detection (F32)
|
100% |
1298
96.9 IPS |
|
|
Object Detection (F16)
|
100% |
1749
130.6 IPS |
|
|
Object Detection (I8)
|
97% |
1296
96.7 IPS |
|
|
Face Detection (F32)
|
100% |
2289
27.2 IPS |
|
|
Face Detection (F16)
|
97% |
3879
46.1 IPS |
|
|
Face Detection (I8)
|
97% |
3865
46.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
4945
38.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
7670
59.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8074
62.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15227
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24178
31.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24333
32.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3449
123.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4762
170.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4760
170.0 IPS |
|
|
Text Classification (F32)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3385
4.86 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
808
14.9 IPS |
|
|
Machine Translation (F16)
|
100% |
971
17.9 IPS |
|
|
Machine Translation (I8)
|
99% |
793
14.6 IPS |
