MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3402
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 12:08 PM |
| Views | 2 |
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 | 3.09 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% |
1778
332.7 IPS |
|
|
Image Classification (F16)
|
100% |
1758
329.0 IPS |
|
|
Image Classification (I8)
|
99% |
1714
320.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
829
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
892
14.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
917
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16415
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
18123
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17733
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1530
114.2 IPS |
|
|
Object Detection (F16)
|
100% |
1486
111.0 IPS |
|
|
Object Detection (I8)
|
97% |
1513
112.9 IPS |
|
|
Face Detection (F32)
|
100% |
5030
59.8 IPS |
|
|
Face Detection (F16)
|
98% |
7376
87.7 IPS |
|
|
Face Detection (I8)
|
97% |
7161
85.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12153
94.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
12498
96.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
12463
96.7 IPS |
|
|
Style Transfer (F32)
|
100% |
28676
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
34545
45.4 IPS |
|
|
Style Transfer (I8)
|
100% |
31724
41.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5110
182.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5593
199.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5236
187.0 IPS |
|
|
Text Classification (F32)
|
100% |
451
647.8 IPS |
|
|
Text Classification (F16)
|
100% |
641
921.0 IPS |
|
|
Text Classification (I8)
|
96% |
649
932.8 IPS |
|
|
Machine Translation (F32)
|
100% |
648
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
719
13.2 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
