MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5481
Single Precision Score
6359
Half Precision Score
5956
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 08 2025 09:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2470
459.3 IPS |
|
|
Image Classification (HP)
|
100% |
2395
445.5 IPS |
|
|
Image Classification (Q)
|
96% |
2378
444.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4001
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4248
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4084
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17204
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19243
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18568
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (Q)
|
92% |
2477
197.7 IPS |
|
|
Face Detection (SP)
|
100% |
6639
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
8436
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
6964
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12215
94.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13914
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12752
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29122
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35525
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34569
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6553
242.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7460
275.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6349
234.4 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3973
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1625
28.1 IPS |
