MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5440
Single Precision Score
6415
Half Precision Score
5962
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | December 20 2025 12:02 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.5 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4293
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4193
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17086
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19311
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18823
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.8 IPS |
|
|
Object Detection (HP)
|
100% |
2765
219.3 IPS |
|
|
Object Detection (Q)
|
92% |
2541
202.8 IPS |
|
|
Face Detection (SP)
|
100% |
6906
82.1 IPS |
|
|
Face Detection (HP)
|
100% |
8467
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
6875
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12347
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13913
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12573
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28902
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35535
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34126
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6591
243.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7325
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6142
226.8 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4131
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1531
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1618
27.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1513
26.1 IPS |
