MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5836
Single Precision Score
6832
Half Precision Score
6339
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2822
524.8 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (Q)
|
96% |
2780
519.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4184
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4439
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4247
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17450
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19501
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
19041
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2902
230.2 IPS |
|
|
Object Detection (HP)
|
100% |
2915
231.2 IPS |
|
|
Object Detection (Q)
|
92% |
2674
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
7021
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
9087
108.0 IPS |
|
|
Face Detection (Q)
|
100% |
7397
87.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12708
97.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14254
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
13042
101.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29745
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35916
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35458
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7118
262.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8097
299.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6797
251.0 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4175
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1730
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1815
31.4 IPS |
