MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3483
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 12:06 PM |
| Views | 1 |
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 | 3.20 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% |
1746
326.7 IPS |
|
|
Image Classification (F16)
|
100% |
1693
316.7 IPS |
|
|
Image Classification (I8)
|
99% |
1730
323.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
842
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
868
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
895
15.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
16242
19.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
17968
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17751
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1595
119.1 IPS |
|
|
Object Detection (F16)
|
100% |
1558
116.3 IPS |
|
|
Object Detection (I8)
|
97% |
1474
110.1 IPS |
|
|
Face Detection (F32)
|
100% |
5876
69.9 IPS |
|
|
Face Detection (F16)
|
98% |
7260
86.3 IPS |
|
|
Face Detection (I8)
|
97% |
7501
89.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12585
97.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13999
108.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
12269
95.1 IPS |
|
|
Style Transfer (F32)
|
100% |
28709
37.8 IPS |
|
|
Style Transfer (F16)
|
100% |
34175
45.0 IPS |
|
|
Style Transfer (I8)
|
100% |
33629
44.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5265
188.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5678
202.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5845
208.8 IPS |
|
|
Text Classification (F32)
|
100% |
762
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
577
828.8 IPS |
|
|
Text Classification (I8)
|
96% |
504
724.1 IPS |
|
|
Machine Translation (F32)
|
100% |
673
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
735
13.5 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
