MacBook Pro (13-inch Late 2020)
Geekbench ML Score
6925
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 01:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1670
312.6 IPS |
|
|
Image Classification (F16)
|
100% |
6171
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6343
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
835
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
3795
63.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
3829
63.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
16532
20.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
62478
75.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
63537
76.9 IPS |
|
|
Object Detection (F32)
|
100% |
1509
112.7 IPS |
|
|
Object Detection (F16)
|
100% |
3892
290.6 IPS |
|
|
Object Detection (I8)
|
97% |
1426
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
5945
70.7 IPS |
|
|
Face Detection (F16)
|
97% |
11684
138.9 IPS |
|
|
Face Detection (I8)
|
96% |
10528
125.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
12181
94.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
39905
309.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
45215
350.6 IPS |
|
|
Style Transfer (F32)
|
100% |
27584
36.3 IPS |
|
|
Style Transfer (F16)
|
100% |
115026
151.3 IPS |
|
|
Style Transfer (I8)
|
100% |
118924
156.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5262
187.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17894
639.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18014
643.3 IPS |
|
|
Text Classification (F32)
|
100% |
878
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
2139
3.07 KIPS |
|
|
Text Classification (I8)
|
96% |
2133
3.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
671
12.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2120
39.0 IPS |
|
|
Machine Translation (I8)
|
99% |
639
11.8 IPS |
