MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3363
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 01:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1727
323.2 IPS |
|
|
Image Classification (F16)
|
100% |
1705
319.1 IPS |
|
|
Image Classification (I8)
|
99% |
1557
291.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
837
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
919
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16293
19.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17989
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17556
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1500
112.0 IPS |
|
|
Object Detection (F16)
|
100% |
1447
108.0 IPS |
|
|
Object Detection (I8)
|
97% |
1469
109.6 IPS |
|
|
Face Detection (F32)
|
100% |
6030
71.7 IPS |
|
|
Face Detection (F16)
|
98% |
6998
83.2 IPS |
|
|
Face Detection (I8)
|
97% |
6907
82.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
12073
93.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13698
106.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
12508
97.0 IPS |
|
|
Style Transfer (F32)
|
100% |
28526
37.5 IPS |
|
|
Style Transfer (F16)
|
100% |
32010
42.1 IPS |
|
|
Style Transfer (I8)
|
100% |
32668
43.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5279
188.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5821
207.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6705
239.4 IPS |
|
|
Text Classification (F32)
|
100% |
433
622.7 IPS |
|
|
Text Classification (F16)
|
100% |
511
734.8 IPS |
|
|
Text Classification (I8)
|
96% |
511
734.5 IPS |
|
|
Machine Translation (F32)
|
100% |
667
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
698
12.8 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
