MacBook Pro (13-inch Late 2020)
Geekbench ML Score
2990
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | NikoEMG |
| Upload Date | May 09 2024 10:03 AM |
| Views | 3 |
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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1295
242.4 IPS |
|
|
Image Classification (F16)
|
100% |
1674
313.3 IPS |
|
|
Image Classification (I8)
|
99% |
1675
313.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
587
9.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
590
9.85 IPS |
|
|
Image Segmentation (I8)
|
100% |
593
9.90 IPS |
|
|
Pose Estimation (F32)
|
100% |
5620
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
12965
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12970
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1335
99.7 IPS |
|
|
Object Detection (F16)
|
100% |
1761
131.5 IPS |
|
|
Object Detection (I8)
|
97% |
1325
98.9 IPS |
|
|
Face Detection (F32)
|
100% |
2395
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
3963
47.1 IPS |
|
|
Face Detection (I8)
|
97% |
3949
47.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5212
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8194
63.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8187
63.5 IPS |
|
|
Style Transfer (F32)
|
100% |
15231
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24118
31.7 IPS |
|
|
Style Transfer (I8)
|
100% |
24099
31.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3452
123.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4417
157.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4435
158.4 IPS |
|
|
Text Classification (F32)
|
100% |
2101
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3377
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3371
4.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
726
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
872
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
717
13.2 IPS |
