MacBook Pro (13-inch Late 2020)
Geekbench ML Score
6905
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 01 2024 04:27 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.19 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1652
309.1 IPS |
|
|
Image Classification (F16)
|
100% |
6130
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6342
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1145
19.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1130
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16284
19.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
63753
77.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
62983
76.3 IPS |
|
|
Object Detection (F32)
|
100% |
1529
114.2 IPS |
|
|
Object Detection (F16)
|
100% |
4181
312.1 IPS |
|
|
Object Detection (I8)
|
97% |
1508
112.6 IPS |
|
|
Face Detection (F32)
|
100% |
5715
68.0 IPS |
|
|
Face Detection (F16)
|
97% |
11890
141.4 IPS |
|
|
Face Detection (I8)
|
96% |
11861
141.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
12103
93.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
43065
334.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
44858
347.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28886
38.0 IPS |
|
|
Style Transfer (F16)
|
100% |
114684
150.9 IPS |
|
|
Style Transfer (I8)
|
100% |
120247
158.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5105
182.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23571
841.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23469
838.2 IPS |
|
|
Text Classification (F32)
|
100% |
2089
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3471
4.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3406
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
551
10.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2095
38.6 IPS |
|
|
Machine Translation (I8)
|
99% |
557
10.2 IPS |
