MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5698
Single Precision Score
6722
Half Precision Score
6245
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:44 AM |
| Views | 1 |
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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2823
525.0 IPS |
|
|
Image Classification (HP)
|
100% |
3046
566.5 IPS |
|
|
Image Classification (Q)
|
96% |
2739
511.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4134
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4247
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17360
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19567
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19001
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2851
226.1 IPS |
|
|
Object Detection (HP)
|
100% |
2754
218.4 IPS |
|
|
Object Detection (Q)
|
92% |
2647
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
6645
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
9075
107.8 IPS |
|
|
Face Detection (Q)
|
100% |
7214
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12498
96.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14224
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
13034
101.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29446
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35785
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35468
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7184
265.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8071
298.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6764
249.7 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4139
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4166
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1517
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1675
28.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1642
28.4 IPS |
