MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3196
Single Precision Score
5355
Half Precision Score
4412
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | uwejugel |
| Upload Date | June 10 2025 07:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2530
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6468
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14172
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12200
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2381
189.5 IPS |
|
|
Object Detection (Q)
|
94% |
1776
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5362
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3137
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5639
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10314
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7352
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16920
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26893
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22339
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4548
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4021
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4494
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4496
77.7 IPS |
