MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5611
Single Precision Score
6604
Half Precision Score
6121
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Boldi2010 |
| Upload Date | December 30 2025 08:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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 | 2.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2513
467.3 IPS |
|
|
Image Classification (HP)
|
100% |
2689
500.0 IPS |
|
|
Image Classification (Q)
|
94% |
2614
488.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4130
67.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4375
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4204
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17334
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19516
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18932
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2805
222.5 IPS |
|
|
Object Detection (HP)
|
100% |
2878
228.3 IPS |
|
|
Object Detection (Q)
|
90% |
2640
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
7215
85.7 IPS |
|
|
Face Detection (HP)
|
100% |
9094
108.1 IPS |
|
|
Face Detection (Q)
|
100% |
7246
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12395
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14155
109.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12612
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29698
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36057
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34896
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6918
255.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7696
284.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6425
237.2 IPS |
|
|
Text Classification (SP)
|
100% |
1989
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3706
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3665
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1679
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1791
30.9 IPS |
