MacBook Pro (13-inch Late 2020)
Geekbench ML Score
2014
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 04 2025 07:52 AM |
| Views | 4 |
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 | 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% |
846
158.3 IPS |
|
|
Image Classification (F16)
|
100% |
1061
198.5 IPS |
|
|
Image Classification (I8)
|
99% |
1060
198.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
474
7.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
453
7.57 IPS |
|
|
Image Segmentation (I8)
|
100% |
458
7.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
3682
4.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
8531
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
8506
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
876
65.4 IPS |
|
|
Object Detection (F16)
|
100% |
1131
84.4 IPS |
|
|
Object Detection (I8)
|
97% |
875
65.3 IPS |
|
|
Face Detection (F32)
|
100% |
1695
20.2 IPS |
|
|
Face Detection (F16)
|
97% |
2541
30.2 IPS |
|
|
Face Detection (I8)
|
97% |
2553
30.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3397
26.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5263
40.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
5294
41.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10309
13.6 IPS |
|
|
Style Transfer (F16)
|
100% |
15913
20.9 IPS |
|
|
Style Transfer (I8)
|
100% |
15908
20.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2347
83.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3175
113.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3160
112.8 IPS |
|
|
Text Classification (F32)
|
100% |
1421
2.04 KIPS |
|
|
Text Classification (F16)
|
100% |
2263
3.25 KIPS |
|
|
Text Classification (I8)
|
96% |
2264
3.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
485
8.92 IPS |
|
|
Machine Translation (F16)
|
100% |
546
10.0 IPS |
|
|
Machine Translation (I8)
|
99% |
501
9.22 IPS |
