MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5805
Single Precision Score
6813
Half Precision Score
6328
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 12:14 AM |
| Views | 1 |
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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2843
528.7 IPS |
|
|
Image Classification (HP)
|
100% |
3050
567.3 IPS |
|
|
Image Classification (Q)
|
96% |
2820
526.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4161
67.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4436
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4248
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17233
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19480
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18828
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2883
228.7 IPS |
|
|
Object Detection (HP)
|
100% |
2873
227.9 IPS |
|
|
Object Detection (Q)
|
92% |
2683
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
6859
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
9149
108.7 IPS |
|
|
Face Detection (Q)
|
100% |
7393
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12830
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14331
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13074
102.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29148
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35738
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34632
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8054
297.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6841
252.6 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4085
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1821
31.5 IPS |
