MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3210
Single Precision Score
5366
Half Precision Score
4423
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | SubAve |
| Upload Date | April 14 2025 08:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.0 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1366
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2538
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14228
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12227
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2399
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1776
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5307
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3149
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10474
81.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7380
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16960
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26973
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22369
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4567
168.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4039
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4512
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4502
77.8 IPS |
