MacBook Pro (13-inch Late 2020)
Geekbench ML Score
2998
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | UniqueNameIdentifier |
| Upload Date | April 22 2024 06:44 PM |
| Views | 13 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1287
240.8 IPS |
|
|
Image Classification (F16)
|
100% |
1665
311.5 IPS |
|
|
Image Classification (I8)
|
99% |
1667
311.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
591
9.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
595
9.93 IPS |
|
|
Image Segmentation (I8)
|
100% |
589
9.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
5612
6.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
12934
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12928
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1316
98.3 IPS |
|
|
Object Detection (F16)
|
100% |
1760
131.4 IPS |
|
|
Object Detection (I8)
|
97% |
1317
98.3 IPS |
|
|
Face Detection (F32)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (F16)
|
97% |
3962
47.1 IPS |
|
|
Face Detection (I8)
|
97% |
3931
46.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5191
40.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8169
63.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8181
63.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15244
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
24132
31.7 IPS |
|
|
Style Transfer (I8)
|
100% |
24193
31.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3484
124.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4664
166.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4801
171.5 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3364
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3320
4.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
728
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
871
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
727
13.4 IPS |
