MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4709
Single Precision Score
5721
Half Precision Score
4365
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | February 17 2025 04:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
2557
475.5 IPS |
|
|
Image Classification (Q)
|
99% |
2503
466.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2623
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3720
60.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3643
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17025
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18726
21.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
17336
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2695
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (Q)
|
91% |
2341
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8371
99.5 IPS |
|
|
Face Detection (Q)
|
100% |
6018
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9488
73.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13773
106.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
1991
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29140
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34869
44.8 IPS |
|
|
Style Transfer (Q)
|
100% |
35318
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6757
249.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7495
276.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5372
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4081
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
98% |
733
12.7 IPS |
