MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3390
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 23 2024 08:14 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
1721
322.0 IPS |
|
|
Image Classification (F16)
|
100% |
1686
315.5 IPS |
|
|
Image Classification (I8)
|
99% |
1717
321.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
850
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
930
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16354
19.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
17992
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17656
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1527
114.0 IPS |
|
|
Object Detection (F16)
|
100% |
1446
107.9 IPS |
|
|
Object Detection (I8)
|
97% |
1477
110.3 IPS |
|
|
Face Detection (F32)
|
100% |
6073
72.2 IPS |
|
|
Face Detection (F16)
|
98% |
6912
82.2 IPS |
|
|
Face Detection (I8)
|
97% |
6429
76.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12089
93.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13722
106.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
12535
97.2 IPS |
|
|
Style Transfer (F32)
|
100% |
28673
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
32219
42.4 IPS |
|
|
Style Transfer (I8)
|
100% |
32697
43.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5305
189.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5952
212.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5652
201.9 IPS |
|
|
Text Classification (F32)
|
100% |
492
707.6 IPS |
|
|
Text Classification (F16)
|
100% |
527
757.4 IPS |
|
|
Text Classification (I8)
|
96% |
524
752.7 IPS |
|
|
Machine Translation (F32)
|
100% |
677
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
714
13.1 IPS |
|
|
Machine Translation (I8)
|
99% |
661
12.2 IPS |
