MacBook Pro (13-inch Late 2020)
Geekbench ML Score
1115
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 19 2024 02:24 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | 1.95 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
661
123.7 IPS |
|
|
Image Classification (F16)
|
100% |
585
109.5 IPS |
|
|
Image Classification (I8)
|
99% |
610
114.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
317
5.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
286
4.77 IPS |
|
|
Image Segmentation (I8)
|
100% |
286
4.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
3664
4.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
6963
8.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
6903
8.36 IPS |
|
|
Object Detection (F32)
|
100% |
657
49.1 IPS |
|
|
Object Detection (F16)
|
100% |
668
49.9 IPS |
|
|
Object Detection (I8)
|
97% |
656
49.0 IPS |
|
|
Face Detection (F32)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (F16)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (I8)
|
99% |
1146
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2093
16.2 IPS |
|
|
Depth Estimation (F16)
|
99% |
2112
16.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
2120
16.4 IPS |
|
|
Style Transfer (F32)
|
100% |
6533
8.59 IPS |
|
|
Style Transfer (F16)
|
100% |
7447
9.80 IPS |
|
|
Style Transfer (I8)
|
100% |
7387
9.72 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1775
63.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1391
49.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1780
63.6 IPS |
|
|
Text Classification (F32)
|
100% |
196
281.4 IPS |
|
|
Text Classification (F16)
|
100% |
292
419.6 IPS |
|
|
Text Classification (I8)
|
96% |
293
421.5 IPS |
|
|
Machine Translation (F32)
|
100% |
554
10.2 IPS |
|
|
Machine Translation (F16)
|
99% |
613
11.3 IPS |
|
|
Machine Translation (I8)
|
99% |
561
10.3 IPS |
