MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5477
Single Precision Score
6319
Half Precision Score
5940
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 11 2025 03:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2424
450.8 IPS |
|
|
Image Classification (HP)
|
100% |
2410
448.1 IPS |
|
|
Image Classification (Q)
|
96% |
2365
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4002
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4236
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4066
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17136
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19222
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18555
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2787
221.0 IPS |
|
|
Object Detection (HP)
|
100% |
2701
214.3 IPS |
|
|
Object Detection (Q)
|
92% |
2462
196.5 IPS |
|
|
Face Detection (SP)
|
100% |
6571
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
8329
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
7081
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12113
93.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13932
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12821
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29115
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35365
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34517
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6571
242.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7518
277.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6349
234.4 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4055
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1545
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1545
26.7 IPS |
