MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5629
Single Precision Score
6719
Half Precision Score
6130
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:45 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% |
2851
530.1 IPS |
|
|
Image Classification (HP)
|
100% |
3046
566.5 IPS |
|
|
Image Classification (Q)
|
96% |
2713
506.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3813
61.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4443
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4242
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17353
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19606
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19081
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
2837
225.0 IPS |
|
|
Object Detection (Q)
|
92% |
2672
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
6867
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8962
106.5 IPS |
|
|
Face Detection (Q)
|
100% |
6746
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12924
99.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14569
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12601
98.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29256
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35206
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34547
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6904
254.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7971
294.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6559
242.2 IPS |
|
|
Text Classification (SP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4099
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1637
28.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1619
28.0 IPS |
