MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5037
Single Precision Score
5814
Half Precision Score
5219
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jamesneill |
| Upload Date | December 28 2024 12:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2561
476.3 IPS |
|
|
Image Classification (HP)
|
100% |
2402
446.6 IPS |
|
|
Image Classification (Q)
|
97% |
2235
417.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2742
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3650
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3738
60.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17127
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18801
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17474
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (Q)
|
91% |
2234
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
6914
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
8339
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
5763
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12214
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13740
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11318
88.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29069
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34717
44.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32905
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6748
249.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7287
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5560
205.3 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
960
16.6 IPS |
