MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5865
Single Precision Score
6833
Half Precision Score
6368
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:26 AM |
| Views | 3 |
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% |
1956
363.7 IPS |
|
|
Image Classification (HP)
|
100% |
2255
419.4 IPS |
|
|
Image Classification (Q)
|
94% |
2273
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4045
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4267
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4061
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17115
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19374
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18686
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
2691
213.4 IPS |
|
|
Object Detection (Q)
|
91% |
2548
203.7 IPS |
|
|
Face Detection (SP)
|
100% |
7176
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
8959
106.5 IPS |
|
|
Face Detection (Q)
|
100% |
7958
94.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12078
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13799
106.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12892
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29760
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35947
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34839
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6395
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6099
225.2 IPS |
|
|
Text Classification (SP)
|
99% |
4230
5.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6904
9.22 KIPS |
|
|
Text Classification (Q)
|
92% |
6619
8.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1919
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2005
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1731
29.9 IPS |
