MacBook Pro (13-inch Late 2020)
Geekbench ML Score
5823
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 09:11 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1688
315.8 IPS |
|
|
Image Classification (F16)
|
100% |
5010
937.6 IPS |
|
|
Image Classification (I8)
|
99% |
4959
928.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
758
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
3082
51.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
3087
51.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
15063
18.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
44733
54.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
45540
55.1 IPS |
|
|
Object Detection (F32)
|
100% |
1462
109.1 IPS |
|
|
Object Detection (F16)
|
100% |
2983
222.7 IPS |
|
|
Object Detection (I8)
|
97% |
1461
109.1 IPS |
|
|
Face Detection (F32)
|
100% |
4647
55.3 IPS |
|
|
Face Detection (F16)
|
97% |
8903
105.9 IPS |
|
|
Face Detection (I8)
|
96% |
8856
105.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
9394
72.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
34070
264.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
34342
266.3 IPS |
|
|
Style Transfer (F32)
|
100% |
24308
32.0 IPS |
|
|
Style Transfer (F16)
|
100% |
87487
115.1 IPS |
|
|
Style Transfer (I8)
|
100% |
91866
120.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5061
180.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14594
521.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14524
518.7 IPS |
|
|
Text Classification (F32)
|
100% |
687
986.9 IPS |
|
|
Text Classification (F16)
|
100% |
2164
3.11 KIPS |
|
|
Text Classification (I8)
|
96% |
2141
3.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
561
10.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1949
35.9 IPS |
|
|
Machine Translation (I8)
|
99% |
519
9.56 IPS |
