MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5471
Single Precision Score
6507
Half Precision Score
5996
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | October 26 2025 03:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 2.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2565
476.9 IPS |
|
|
Image Classification (HP)
|
100% |
2740
509.6 IPS |
|
|
Image Classification (Q)
|
96% |
2603
486.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4072
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4386
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4199
68.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17079
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19423
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18456
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2506
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
2700
214.2 IPS |
|
|
Object Detection (Q)
|
92% |
2555
204.0 IPS |
|
|
Face Detection (SP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
8837
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
7104
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12356
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14082
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12448
97.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28897
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35101
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34756
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6600
243.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7754
286.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6158
227.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1496
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1527
26.4 IPS |
