MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3002
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 26 2024 06:16 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1298
242.8 IPS |
|
|
Image Classification (F16)
|
100% |
1680
314.5 IPS |
|
|
Image Classification (I8)
|
99% |
1681
314.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
633
10.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
624
10.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
623
10.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5644
6.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
12978
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12981
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1316
98.3 IPS |
|
|
Object Detection (F16)
|
100% |
1752
130.8 IPS |
|
|
Object Detection (I8)
|
97% |
1314
98.1 IPS |
|
|
Face Detection (F32)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
3896
46.3 IPS |
|
|
Face Detection (I8)
|
97% |
3961
47.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5203
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8162
63.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8161
63.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15260
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
24176
31.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24157
31.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3467
123.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4431
158.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4407
157.4 IPS |
|
|
Text Classification (F32)
|
100% |
2099
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3377
4.85 KIPS |
|
|
Text Classification (I8)
|
96% |
3355
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
718
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
872
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
713
13.1 IPS |
