MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5790
Single Precision Score
6852
Half Precision Score
6334
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 12:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2842
528.6 IPS |
|
|
Image Classification (HP)
|
100% |
3044
566.1 IPS |
|
|
Image Classification (Q)
|
96% |
2815
525.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4181
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4441
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4250
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17285
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19628
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19049
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2941
233.3 IPS |
|
|
Object Detection (HP)
|
100% |
2906
230.5 IPS |
|
|
Object Detection (Q)
|
92% |
2684
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
7049
83.8 IPS |
|
|
Face Detection (HP)
|
100% |
9203
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
7349
87.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12790
98.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14443
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13130
102.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29512
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35736
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
35428
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8130
300.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6687
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4128
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1836
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1802
31.1 IPS |
