MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3199
Single Precision Score
5365
Half Precision Score
4407
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 31 2025 08:00 PM |
| Views | 2 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6499
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14211
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12189
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2381
189.6 IPS |
|
|
Object Detection (Q)
|
94% |
1772
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
2968
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5382
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3128
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10450
80.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7373
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16889
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26910
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22316
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4533
167.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3488
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4032
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4513
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4534
78.3 IPS |
