MacBook Pro (13-inch Late 2020)
Geekbench ML Score
3444
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 08 2023 02:44 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.1 (Build 23B81) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1735
324.6 IPS |
|
|
Image Classification (F16)
|
100% |
1664
311.4 IPS |
|
|
Image Classification (I8)
|
99% |
1572
294.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
847
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
902
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
914
15.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16189
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17872
21.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
17526
21.2 IPS |
|
|
Object Detection (F32)
|
100% |
1518
113.4 IPS |
|
|
Object Detection (F16)
|
100% |
1454
108.5 IPS |
|
|
Object Detection (I8)
|
97% |
1460
109.0 IPS |
|
|
Face Detection (F32)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (F16)
|
97% |
7176
85.3 IPS |
|
|
Face Detection (I8)
|
96% |
7138
84.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
11998
93.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
13475
104.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
12234
94.9 IPS |
|
|
Style Transfer (F32)
|
100% |
28512
37.5 IPS |
|
|
Style Transfer (F16)
|
100% |
34357
45.2 IPS |
|
|
Style Transfer (I8)
|
100% |
33758
44.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5241
187.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5699
203.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5332
190.4 IPS |
|
|
Text Classification (F32)
|
100% |
699
1.00 KIPS |
|
|
Text Classification (F16)
|
100% |
524
752.7 IPS |
|
|
Text Classification (I8)
|
96% |
662
951.9 IPS |
|
|
Machine Translation (F32)
|
100% |
686
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
723
13.3 IPS |
|
|
Machine Translation (I8)
|
99% |
648
11.9 IPS |
