MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3209
Single Precision Score
5422
Half Precision Score
4427
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6348
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
14217
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12223
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2384
189.8 IPS |
|
|
Object Detection (Q)
|
94% |
1775
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5431
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3179
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10430
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7398
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26974
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22379
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3524
130.1 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4597
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4600
79.5 IPS |
