MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5460
Single Precision Score
6410
Half Precision Score
6101
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | lpessoa |
| Upload Date | June 18 2025 02:24 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2211
411.1 IPS |
|
|
Image Classification (HP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (Q)
|
96% |
2545
475.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4032
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4296
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4122
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17401
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19559
22.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18947
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2743
217.6 IPS |
|
|
Object Detection (HP)
|
100% |
2781
220.6 IPS |
|
|
Object Detection (Q)
|
92% |
2608
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
6872
81.7 IPS |
|
|
Face Detection (HP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
7234
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12340
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14063
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13176
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29491
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35797
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34672
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6784
250.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8138
300.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6477
239.2 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1497
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1596
27.6 IPS |
