MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5505
Single Precision Score
6346
Half Precision Score
6022
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | SubAve |
| Upload Date | May 22 2025 02:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2393
445.0 IPS |
|
|
Image Classification (HP)
|
100% |
2405
447.2 IPS |
|
|
Image Classification (Q)
|
96% |
2477
462.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4012
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4295
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4068
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17180
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19250
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18588
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2758
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (Q)
|
92% |
2452
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
6800
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8453
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
6902
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12216
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13857
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13089
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29226
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35289
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34193
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6528
241.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7511
277.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6905
255.0 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4081
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1525
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1570
27.1 IPS |
