MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5901
Single Precision Score
6806
Half Precision Score
6279
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
2164
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
2297
427.2 IPS |
|
|
Image Classification (Q)
|
94% |
2009
375.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4277
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4084
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17077
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19346
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18536
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (HP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (Q)
|
91% |
2571
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
7138
84.8 IPS |
|
|
Face Detection (HP)
|
100% |
8912
105.9 IPS |
|
|
Face Detection (Q)
|
100% |
7977
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12006
92.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13817
106.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13026
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29808
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35976
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34751
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6365
235.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7187
265.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5970
220.5 IPS |
|
|
Text Classification (SP)
|
99% |
4253
5.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6603
8.81 KIPS |
|
|
Text Classification (Q)
|
92% |
6551
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1999
34.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1727
29.8 IPS |
